{"id":1772,"date":"2018-05-13T13:59:09","date_gmt":"2018-05-13T13:59:09","guid":{"rendered":"http:\/\/www.www.lasar.polimi.it\/?page_id=1772"},"modified":"2025-08-27T14:10:38","modified_gmt":"2025-08-27T14:10:38","slug":"papers","status":"publish","type":"page","link":"https:\/\/www.lasar.polimi.it\/?page_id=1772","title":{"rendered":"Papers"},"content":{"rendered":"

2025<\/h2>\n

Stefano Marchetti, Francesco Di Maio, Enrico Zio, Emanuele Borgonovo, Ermal Plischke. 2025. A global sensitivity analysis framework for guiding the design improvement of new concepts of small modular reactors<\/strong>. Nuclear Engineering and Design. doi: https:\/\/doi.org\/10.1016\/j.nucengdes.2025.114398. Available online<\/a>. Available preprint<\/a>.<\/p>\n

Masoud Naseri<\/span> and Enrico Zio, 2025. \u201cA Modelling and Computational Framework for the Assessment of the Supply Resilience of Gas Transmission Pipeline Networks<\/i><\/strong>\u201d, in E. B. Abrahamsen, T. Aven, F. Bouder, R. Flage, and M. Yl\u00f6nen, \u201cProceedings of the 35th European Safety and Reliability & the 33rd Society for Risk Analysis Europe Conference (15-19 June 2025, Stavanger, Norway)\u201d <\/span>https:\/\/rpsonline.com.sg\/proceedings\/esrel-sra-e2025\/pdf\/ESREL-SRA-E2025-P2272.pdf<\/span><\/a><\/span>.<\/span><\/p>\n

Maria Valentina Clavijo Mesa, Francesco Di Maio, Enrico Zio. 2025. Dynamic inoperability input-output modeling of a system of systems made of multi-state independent critical infrastructures<\/strong>. Reliability Engineering and System Safety. Available online<\/a>. Available preprint<\/a>.<\/p>\n

Nicol\u00e1s Javier C\u00e1rdenas Pantoja<\/a>, Adam Abdin,<\/a> <\/span>Piero Baraldi, Luca Pinciroli, Alice Forello, Laura Dovera, Enrico Zio. 2025. Optimal Drilling Scheduling in Field Development Planning by Deep Reinforcement Learning. <\/span><\/strong>Paper presented at the SPE Reservoir Simulation Conference, Galveston, Texas, USA<\/span>.<\/span><\/span>\u00a0Available online<\/a>. Availabe preprint<\/a>.<\/p>\n

Giovanni Floreale, Piero Baraldi, Enrico Zio, Olga Fink. 2025. Automated processing of eXplainable Artificial Intelligence outputs in deep learning models for fault diagnostics of large infrastructure. <\/span><\/strong>Engineering Applications of Artificial Intelligence. Available online<\/a>. Available preprint<\/a>.<\/span><\/span><\/p>\n

2024<\/h2>\n

Zuo, F.<\/a>; Zio, E.<\/a> (2024). Managing secondary risks with optimal risk response strategy and risk-related resource scheduling<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2024.110028<\/a><\/p>\n

Hao, Y.; Jia, L.; Zio, E.<\/a>; Wang, Y.; He, Z. (2024). A network-based approach to improving robustness of a high-speed train by structure adjustment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109857<\/a><\/p>\n

Somu, B.<\/a>; Zio, E.<\/a> (2024). Ecological network analysis and optimization of resilience and efficiency for electric power systems design<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.iintel.2024.100083<\/a><\/p>\n

Floreale, G.<\/a>; Baraldi, P.<\/a>; Lu, X.<\/a>; Rossetti, P.; Zio, E.<\/a> (2024). Sensitivity analysis by differential importance measure for unsupervised fault diagnostics<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109846<\/a><\/p>\n

Cadini, F.; Lomazzi, L.<\/a>; Zio, E.<\/a> (2024). Vulnerability Analysis of Power Transmission Grids Subject to Cascading Failures<\/strong>. MDPI AG. dx.doi.org\/10.3390\/electronics13050943<\/a><\/p>\n

Zio, E.<\/a>; Guarnieri, F. (2024). Industry 5.0: Do risk assessment and risk management need to update? And if yes, how?<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X241229884<\/a><\/p>\n

Naseh Moghanlou, L.<\/a>; Di Maio, F.<\/a>; Zio, E.<\/a> (2024). Probabilistic scenario analysis of integrated road-power infrastructures with hybrid fleets of EVs and ICVs<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109712<\/a><\/p>\n

Valcamonico, D.<\/a>; Baraldi, P.<\/a>; Zio, E.<\/a>; Decarli, L.; Crivellari, A.; Rosa, L. (2024). Combining natural language processing and bayesian networks for the probabilistic estimation of the severity of process safety events in hydrocarbon production assets<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109638<\/a><\/p>\n

Maatouk, A.<\/a>; Ayed, F.; Biao, S.; Li, W.<\/a>; Bao, H.; Zio, E.<\/a> (2024). A Framework for the Evaluation of Network Reliability Under Periodic Demand<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNET.2024.3354516<\/a><\/p>\n

Xu, Y.<\/a>; Pi, D.<\/a>; Yang, S.<\/a>; Zio, E.<\/a> (2024). Knowledge Transfer-Based Multifactorial Evolutionary Algorithm for Selective Maintenance Optimization of Multistate Complex Systems<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2023.3324701<\/a><\/p>\n

Zio, E.<\/a> (2024). Prognostics and Health Management Methods for Reliability Prediction and Predictive Maintenance<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2024.3356816<\/a><\/p>\n

Zio, E.<\/a> (2024). Reliability Optimization<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2024.3356822<\/a><\/p>\n

Luo, C.<\/a>; Wang, J.<\/a>; Zio, E.<\/a>; Miao, Q.<\/a> (2024). Subdomain Adaptation Order Network for Fault Diagnosis of Brushless DC Motors<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2024.3350136<\/a><\/p>\n

2023<\/h2>\n

Song, W.<\/a>; Chen, D.; Zio, E.<\/a> (2023). Heavy Tail and Long-Range Dependence for Skewed Time Series Prediction Based on a Fractional Weibull Process<\/strong>. MDPI AG. dx.doi.org\/10.3390\/fractalfract8010007<\/a><\/p>\n

Song, W.<\/a>; Chen, J.; Wang, Z.<\/a>; Kudreyko, A.<\/a>; Qi, D.; Zio, E.<\/a> (2023). Remaining Useful Life Prediction of Lithium-Ion Battery Based on Adaptive Fractional L\u00e9vy Stable Motion with Capacity Regeneration and Random Fluctuation Phenomenon<\/strong>. MDPI AG. dx.doi.org\/10.3390\/fractalfract7110827<\/a><\/p>\n

Zhou, H.; Wang, B.<\/a>; Zio, E.<\/a>; Wen, G.<\/a>; Liu, Z.; Su, Y.; Chen, X. (2023). Hybrid system response model for condition monitoring of bearings under time-varying operating conditions<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109528<\/a><\/p>\n

Baraldi, P.<\/a>; Di Maio, F.<\/a>; Zio, E.<\/a> (2023). Guest Editorial: Special Issue of ESREL2020 PSAM15<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X221150954<\/a><\/p>\n

Chen, Z.<\/a>; Zhou, D.<\/a>; Zio, E.<\/a>; Xia, T.<\/a>; Pan, E.<\/a> (2023). A Deep Learning Feature Fusion Based Health Index Construction Method for Prognostics Using Multiobjective Optimization<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2022.3215757<\/a><\/p>\n

Zuo, F.; Zio, E.<\/a>; Xu, Y.<\/a> (2023). Bi-objective optimization of the scheduling of risk-related resources for risk response<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109391<\/a><\/p>\n

Hao, Z.; Di Maio, F.<\/a>; Zio, E.<\/a> (2023). Monte Carlo Tree Search-based Deep Reinforcement Learning for Flexible Operation & Maintenance Optimization of a Nuclear Power Plant<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.jsasus.2023.08.001<\/a><\/p>\n

Zhang, Z.<\/a>; Chen, X.; Zio, E.<\/a>; Li, L.<\/a> (2023). Multi-task learning boosted predictions of the remaining useful life of aero-engines under scenarios of working-condition shift<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109350<\/a><\/p>\n

Yang, Z.<\/a>; Xiang, Q.; He, Y.; Peng, S.; Faber, M.; Zio, E.<\/a>; Zuo, L.; Su, H.; Zhang, J. (2023). Resilience of Natural Gas Pipeline System: A Review and Outlook<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en16176237<\/a><\/p>\n

Zio, E.<\/a>; Gholinezhad, H.<\/a> (2023). Redundancy Allocation of Components with Time-Dependent Failure Rates<\/strong>. MDPI AG. dx.doi.org\/10.3390\/math11163534<\/a><\/p>\n

Deng, W.; Gao, Y.<\/a>; Song, W.<\/a>; Zio, E.<\/a>; Li, G.; Liu, J.; Kudreyko, A.<\/a> (2023). Adaptive Residual Useful Life Prediction for the Insulated-Gate Bipolar Transistors with Pulse-Width Modulation Based on Multiple Modes and Transfer Learning<\/strong>. MDPI AG. dx.doi.org\/10.3390\/fractalfract7080614<\/a><\/p>\n

Li, Y.<\/a>; Shi, Y.; Zhang, Z.<\/a>; Lu, N.<\/a>; Wang, X.<\/a>; Zio, E.<\/a> (2023). Condition-Based Maintenance for Performance Degradation Under Nonperiodic Unreliable Inspections<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TAI.2022.3197680<\/a><\/p>\n

Wang, B.<\/a>; Baraldi, P.<\/a>; Zio, E.<\/a> (2023). Deep Multiadversarial Conditional Domain Adaptation Networks for Fault Diagnostics of Industrial Equipment<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TII.2022.3222400<\/a><\/p>\n

Hao, Y.<\/a>; Jia, L.; Zio, E.<\/a>; Wang, Y.; He, Z. (2023). A multi-objective optimization model for identifying groups of critical elements in a high-speed train<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109220<\/a><\/p>\n

Hao, Z.; Di Maio, F.<\/a>; Zio, E.<\/a> (2023). A sequential decision problem formulation and deep reinforcement learning solution of the optimization of O&M of cyber-physical energy systems (CPESs) for reliable and safe power production and supply<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109231<\/a><\/p>\n

Tang, D.; Fang, Y.<\/a>; Zio, E.<\/a> (2023). Vulnerability analysis of demand-response with renewable energy integration in smart grids to cyber attacks and online detection methods<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2023.109212<\/a><\/p>\n

Zio, E.<\/a> (2023). Quantum reliability analysis of a wireless telecommunication network<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X231182455<\/a><\/p>\n

Zhang, Z.<\/a>; Chen, P.; Xing, C.; Liu, B.; Wang, R.; Li, L.; Chen, X.; Zio, E.<\/a> (2023). A Data Augmentation Boosted Dual Informer Framework for the Performance Degradation Prediction of Aero-Engines<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/JSEN.2023.3269030<\/a><\/p>\n

Zhou, H.; Lei, Z.<\/a>; Zio, E.<\/a>; Wen, G.; Liu, Z.; Su, Y.; Chen, X.<\/a> (2023). Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ymssp.2023.110139<\/a><\/p>\n

Xu, M.<\/a>; Baraldi, P.<\/a>; Yang, Z.<\/a>; Zio, E.<\/a> (2023). A two-stage estimation method based on Conceptors-aided unsupervised clustering and convolutional neural network classification for the estimation of the degradation level of industrial equipment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2022.118962<\/a><\/p>\n

Di Maio, F.<\/a>; Pettorossi, C.; Zio, E.<\/a> (2023). Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2022.108982<\/a><\/p>\n

Baraldi, P.<\/a>; Razavi-Far, R.<\/a>; Zio, E.<\/a> (2023). Guest Editorial: Special Issue of ESREL2020 PSAM15<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en16041610<\/a><\/p>\n

Fan, L.<\/a>; Su, H.; Zio, E.<\/a>; Li, Y.; Zhang, L.; Peng, S.; He, Y.; Hao, Y.; Zhang, J. (2023). Supply reliability-driven joint optimization of maintenance and spare parts inventory in a gas pipeline system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.jgsce.2023.204883<\/a><\/p>\n

Yin, Y.; Liu, Z.<\/a>; Zhang, J.; Zio, E.<\/a>; Zuo, M. (2023). An Adaptive Sampling Framework for Life Cycle Degradation Monitoring<\/strong>. MDPI AG. dx.doi.org\/10.3390\/s23020965<\/a><\/p>\n

Chi, L.; Su, H.; Zio, E.<\/a>; Qadrdan, M.; Zhou, J.; Zhang, L.; Fan, L.; Yang, Z.; Xie, F.; Zuo, L.<\/a>; Zhang, J.<\/a> (2023). A systematic framework for the assessment of the reliability of energy supply in Integrated Energy Systems based on a quasi-steady-state model<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.energy.2022.125740<\/a><\/p>\n

Xu, Y.<\/a>; Pi, D.<\/a>; Yang, S.<\/a>; Chen, Y.<\/a>; Qin, S.<\/a>; Zio, E.<\/a> (2023). An Angle-Based Bi-Objective Optimization Algorithm for Redundancy Allocation in Presence of Interval Uncertainty<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TASE.2022.3148459<\/a><\/p>\n

Lin, Y.<\/a>; Guan, L.<\/a>; Chang, L.<\/a>; Zio, E.<\/a> (2023). A Semisupervised Deep Hybrid Multitask Model for RUL Prediction<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2023.3291801<\/a><\/p>\n

Li, C.<\/a>; Lei, Y.<\/a>; You, Z.<\/a>; Guo, L.<\/a>; Zio, E.<\/a>; Gao, H.<\/a> (2023). Vision-Based Defect Measurement of Drilled CFRP Composites Using Double-Light Imaging<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2023.3267374<\/a><\/p>\n

2022<\/h2>\n

Rajaonah, B.<\/a>; Zio, E.<\/a> (2022). Social Robotics and Synthetic Ethics: A Methodological Proposal for Research<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.1007\/s12369-022-00874-1<\/a><\/p>\n

Hoseyni, S.<\/a>; Di Maio, F.<\/a>; Zio, E.<\/a> (2022). Subset simulation for optimal sensors positioning based on value of information<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X221118432<\/a><\/p>\n

Baraldi, P.<\/a>; Compare, M.<\/a>; Zio, E.<\/a>; Cannarile, F.<\/a>; Yang, Z. (2022). The Aramis Data Challenge to prognostics and health management methods for application in evolving environments<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X221107191<\/a><\/p>\n

Valcamonico, D.<\/a>; Baraldi, P.<\/a>; Amigoni, F.; Zio, E.<\/a> (2022). A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X221140196<\/a><\/p>\n

Antonello, F.<\/a>; Baraldi, P.<\/a>; Zio, E.<\/a>; Serio, L.<\/a> (2022). A Niching Augmented Evolutionary Algorithm for the Identification of Functional Dependencies in Complex Technical Infrastructures From Alarm Data<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/JSYST.2022.3146014<\/a><\/p>\n

Xu, M.; Baraldi, P.<\/a>; Lu, X.; Zio, E.<\/a> (2022). Generative Adversarial Networks With AdaBoost Ensemble Learning for Anomaly Detection in High-Speed Train Automatic Doors<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TITS.2022.3203871<\/a><\/p>\n

Xu, Y.<\/a>; Pi, D.<\/a>; Wu, Z.; Chen, J.<\/a>; Zio, E.<\/a> (2022). Hybrid Discrete Differential Evolution and Deep Q-Network for Multimission Selective Maintenance<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2021.3111737<\/a><\/p>\n

Zuo, F.; Zio, E.<\/a>; Yuan, Y.<\/a> (2022). Risk-Response Strategy Optimization Considering Limited Risk-Related Resource Allocation and Scheduling<\/strong>. American Society of Civil Engineers (ASCE). dx.doi.org\/10.1061\/(ASCE)CO.1943-7862.0002392<\/a><\/p>\n

Tong, Z.; Li, W.; Zhang, B.<\/a>; Gao, H.<\/a>; Zhu, X.; Zio, E.<\/a> (2022). Bearing Fault Diagnosis Based on Discriminant Analysis Using Multi-View Learning<\/strong>. MDPI AG. dx.doi.org\/10.3390\/math10203889<\/a><\/p>\n

Cervi, E.; Lu, X.; Cammi, A.<\/a>; Di Maio, F.<\/a>; Zio, E.<\/a> (2022). Sensitivity-Analysis-Driven Surrogate Model for Molten Salt Reactors Control<\/strong>. MDPI AG. dx.doi.org\/10.3390\/jne3040016<\/a><\/p>\n

Song, W.<\/a>; Chen, D.; Zio, E.<\/a>; Yan, W.; Cai, F. (2022). An Adaptive Generalized Cauchy Model for Remaining Useful Life Prediction of Wind Turbine Gearboxes with Long-Range Dependence<\/strong>. MDPI AG. dx.doi.org\/10.3390\/fractalfract6100576<\/a><\/p>\n

Li, Z.<\/a>; Li, Y.<\/a>; Qiu, R.<\/a>; Zio, E.<\/a> (2022). Guest Editorial: Special Section on AI Enhanced Reliability Assessment and Predictive Health Management<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TII.2022.3176307<\/a><\/p>\n

Lyu, D.<\/a>; Niu, G.<\/a>; Liu, E.; Zhang, B.; Chen, G.; Yang, T.; Zio, E.<\/a> (2022). Time space modelling for fault diagnosis and prognosis with uncertainty management: A general theoretical formulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2022.108686<\/a><\/p>\n

Zhang, Z.; Chen, X.; Zio, E.<\/a> (2022). A framework for predicting the remaining useful life of machinery working under time-varying operational conditions<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.asoc.2022.109164<\/a><\/p>\n

Fan, L.; Su, H.; Wang, W.; Zio, E.<\/a>; Zhang, L.; Yang, Z.; Peng, S.; Yu, W.; Zuo, L.; Zhang, J.<\/a> (2022). A systematic method for the optimization of gas supply reliability in natural gas pipeline network based on Bayesian networks and deep reinforcement learning<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2022.108613<\/a><\/p>\n

Song, W.<\/a>; Duan, S.; Zio, E.<\/a>; Kudreyko, A.<\/a> (2022). Multifractional and long-range dependent characteristics for remaining useful life prediction of cracking gas compressor<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2022.108630<\/a><\/p>\n

Song, W.<\/a>; Duan, S.; Chen, D.; Zio, E.<\/a>; Yan, W.; Cai, F. (2022). Finite Iterative Forecasting Model Based on Fractional Generalized Pareto Motion<\/strong>. MDPI AG. dx.doi.org\/10.3390\/fractalfract6090471<\/a><\/p>\n

Liu, L.<\/a>; Yang, W.<\/a>; Chen, Z.<\/a>; Zhai, G.<\/a>; Zio, E.<\/a> (2022). A Novel Nonlinear Dynamic Model for Predicting Contact Bounce of Electromagnetic Relays With Flexible Spring Components<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TCPMT.2022.3191095<\/a><\/p>\n

Di Maio, F.<\/a>; Zio, E.<\/a> (2022). The Role of Nuclear Small Modular Reactors for the Resilience of Integrated Energy Systems<\/strong>. Network Design Lab – Transport Findings. dx.doi.org\/10.32866\/001c.37211<\/a><\/p>\n

Wang, W.; Cova, G.; Zio, E.<\/a> (2022). A clustering-based framework for searching vulnerabilities in the operation dynamics of Cyber-Physical Energy Systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2022.108400<\/a><\/p>\n

Wang, H.<\/a>; Fang, Y.<\/a>; Zio, E.<\/a> (2022). Resilience-oriented optimal post-disruption reconfiguration for coupled traffic-power systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2022.108408<\/a><\/p>\n

Di Maio, F.<\/a>; Bani, L.; Zio, E.<\/a> (2022). The Contribution of Small Modular Reactors to the Resilience of Power Supply<\/strong>. MDPI AG. dx.doi.org\/10.3390\/jne3020009<\/a><\/p>\n

Tong, Z.; Li, W.; Zio, E.<\/a>; Zhang, B.<\/a>; Zhou, G. (2022). Online Bearing Fault Diagnosis Based on Packet Loss Influence-Inspired Retransmission Mechanism<\/strong>. MDPI AG. dx.doi.org\/10.3390\/math10091422<\/a><\/p>\n

Wang, C.<\/a>; Liu, J.<\/a>; Zio, E.<\/a> (2022). A Modified Generative Adversarial Network for Fault Diagnosis in High-Speed Train Components with Imbalanced and Heterogeneous Monitoring Data<\/strong>. Intelligence Science and Technology Press Inc.. dx.doi.org\/10.37965\/jdmd.2022.68<\/a><\/p>\n

Peng, Z.; Sun, Z.; Chen, J.; Ping, Z.; Dong, K.; Li, J.; Fu, Y.; Zio, E.<\/a> (2022). A Fault Diagnosis Approach for Electromechanical Actuators with Simulating Model under Small Experimental Data Sample Condition<\/strong>. MDPI AG. dx.doi.org\/10.3390\/act11030066<\/a><\/p>\n

Bian, C.; Yang, S.<\/a>; Liu, J.<\/a>; Zio, E.<\/a> (2022). Robust state-of-charge estimation of Li-ion batteries based on multichannel convolutional and bidirectional recurrent neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.asoc.2021.108401<\/a><\/p>\n

Di Maio, F.<\/a>; Tonicello, P.; Zio, E.<\/a> (2022). A Modeling and Analysis Framework for Integrated Energy Systems Exposed to Climate Change-Induced NaTech Accidental Scenarios<\/strong>. MDPI AG. dx.doi.org\/10.3390\/su14020786<\/a><\/p>\n

Abdin, A.<\/a>; Caunhye, A.; Zio, E.<\/a>; Cardin, M. (2022). Optimizing generation expansion planning with operational uncertainty: A multistage adaptive robust approach<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.apenergy.2021.118032<\/a><\/p>\n

Li, Z.<\/a>; Li, Y.<\/a>; Yue, X.<\/a>; Zio, E.<\/a>; Wu, J.<\/a> (2022). A Deep Branched Network for Failure Mode Diagnostics and Remaining Useful Life Prediction<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2022.3195280<\/a><\/p>\n

Li, Y.<\/a>; Chen, H.<\/a>; Lu, N.<\/a>; Jiang, B.<\/a>; Zio, E.<\/a> (2022). Data-Driven Optimal Test Selection Design for Fault Detection and Isolation Based on CCVKL Method and PSO<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2022.3168930<\/a><\/p>\n

Lin, M.; Wanqing, S.<\/a>; Chen, D.<\/a>; Zio, E.<\/a> (2022). Evolving Connectionist System and Hidden Semi-Markov Model for Learning-Based Tool Wear Monitoring and Remaining Useful Life Prediction<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/ACCESS.2022.3196016<\/a><\/p>\n

2021<\/h2>\n

Viveros, P.<\/a>; Mena, R.; Zio, E.<\/a>; Miqueles, L.; Kristjanpoller, F. (2021). Integrated planning framework for preventive maintenance grouping: A case study for a conveyor system in the Chilean mining industry<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X211053758<\/a><\/p>\n

Pappalardo, F.; Moscatello, A.<\/a>; Ledda, G.; Uggenti, A.; Gerboni, R.; Carpignano, A.; Di Maio, F.<\/a>; Mereu, R.<\/a>; Zio, E.<\/a> (2021). Quantification of Uncertainty in CFD Simulation of Accidental Gas Release for O & G Quantitative Risk Assessment<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en14238117<\/a><\/p>\n

Mena, R.; Viveros, P.; Zio, E.<\/a>; Campos, S. (2021). An optimization framework for opportunistic planning of preventive maintenance activities<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2021.107801<\/a><\/p>\n

Li, Y.<\/a>; Zio, E.<\/a>; Pan, E. (2021). An MEWMA-based segmental multivariate hidden Markov model for degradation assessment and prediction<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X21990527<\/a><\/p>\n

Pinciroli, L.<\/a>; Baraldi, P.<\/a>; Ballabio, G.; Compare, M.<\/a>; Zio, E.<\/a> (2021). Deep Reinforcement Learning Based on Proximal Policy Optimization for the Maintenance of a Wind Farm with Multiple Crews<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en14206743<\/a><\/p>\n

Shokry, A.; Baraldi, P.<\/a>; Castellano, A.; Serio, L.; Zio, E.<\/a> (2021). Identification of Critical Components in the Complex Technical Infrastructure of the Large Hadron Collider Using Relief Feature Ranking and Support Vector Machines<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en14186000<\/a><\/p>\n

Destino, V.; Pedroni, N.<\/a>; Bonifetto, R.<\/a>; Di Maio, F.<\/a>; Savoldi, L.<\/a>; Zio, E.<\/a> (2021). Metamodeling and On-Line Clustering for Loss-of-Flow Accident Precursors Identification in a Superconducting Magnet Cryogenic Cooling Circuit<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en14175552<\/a><\/p>\n

Ansari, O.<\/a>; Chung, C.<\/a>; Zio, E.<\/a> (2021). A Novel Framework for the Operational Reliability Evaluation of Integrated Electric Power\u2013Gas Networks<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TSG.2021.3075918<\/a><\/p>\n

Hoseyni, S.<\/a>; Maio, F.; Zio, E.<\/a> (2021). Optimal sensor positioning on pressurized equipment based on Value of Information<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X21989661<\/a><\/p>\n

Di Maio, F.<\/a>; Pedroni, N.<\/a>; T\u00f3th, B.; Burgazzi, L.; Zio, E.<\/a> (2021). Reliability Assessment of Passive Safety Systems for Nuclear Energy Applications: State-of-the-Art and Open Issues<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en14154688<\/a><\/p>\n

Al-Dahidi, S.<\/a>; Baraldi, P.<\/a>; Zio, E.<\/a>; Montelatici, L. (2021). Bootstrapped Ensemble of Artificial Neural Networks Technique for Quantifying Uncertainty in Prediction of Wind Energy Production<\/strong>. MDPI AG. dx.doi.org\/10.3390\/su13116417<\/a><\/p>\n

Hao, Z.; Di Maio, F.<\/a>; Zio, E.<\/a> (2021). Multi-State Reliability Assessment Model of Base-Load Cyber-Physical Energy Systems (CPES) during Flexible Operation Considering the Aging of Cyber Components<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en14113241<\/a><\/p>\n

Mancuso, A.; Compare, M.; Salo, A.; Zio, E.<\/a> (2021). Optimal Prognostics and Health Management-driven inspection and maintenance strategies for industrial systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2021.107536<\/a><\/p>\n

Chen, S.; Wang, W.<\/a>; Zio, E.<\/a> (2021). A Simulation-Based Multi-Objective Optimization Framework for the Production Planning in Energy Supply Chains<\/strong>. MDPI AG. dx.doi.org\/10.3390\/en14092684<\/a><\/p>\n

Liu, Y.<\/a>; Hong, S.<\/a>; Zio, E.<\/a>; Liu, J. (2021). Fault Diagnosis and Reconfigurable Control for Commercial Aircraft with Multiple Faults and Actuator Saturation<\/strong>. MDPI AG. dx.doi.org\/10.3390\/aerospace8040108<\/a><\/p>\n

Fang, Y.<\/a>; Fang, C.<\/a>; Zio, E.<\/a>; Xie, M.<\/a> (2021). Resilient Critical Infrastructure Planning Under Disruptions Considering Recovery Scheduling<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TEM.2019.2902916<\/a><\/p>\n

Baladeh, A.<\/a>; Zio, E.<\/a> (2021). A Two-Stage Stochastic Programming Model of Component Test Plan and Redundancy Allocation for System Reliability Optimization<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2020.2974284<\/a><\/p>\n

Wang, H.<\/a>; Fang, Y.<\/a>; Zio, E.<\/a> (2021). Risk Assessment of an Electrical Power System Considering the Influence of Traffic Congestion on a Hypothetical Scenario of Electrified Transportation System in New York State<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TITS.2019.2955359<\/a><\/p>\n

Ren, L.<\/a>; Deng, J.<\/a>; Song, W.<\/a>; Zio, E.<\/a>; Cattani, C. (2021). A Fractional Brownian Motion Model for Forecasting Lost Load and Time Interval Between Power Outages<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/ACCESS.2020.3048499<\/a><\/p>\n

Li, Y.<\/a>; Zio, E.<\/a>; Lu, N.<\/a>; Wang, X.<\/a>; Jiang, B.<\/a> (2021). Joint Distribution-Based Test Selection for Fault Detection and Isolation Under Multiple Faults Condition<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2020.3031983<\/a><\/p>\n

Lin, Y.<\/a>; Zio, E.<\/a> (2021). Online Estimation of Degradation State Under Random Change of Mode<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2021.3089774<\/a><\/p>\n

Ma, K.<\/a>; Song, N.<\/a>; Jin, J.<\/a>; Zio, E.<\/a>; He, J.<\/a>; Wang, X.<\/a>; Kong, L.<\/a> (2021). Radiation-Induced Degradation Analysis and Reliability Modeling of COTS ADCs for Space-Borne Miniature Fiber-Optic Gyroscopes<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIM.2021.3054419<\/a><\/p>\n

2020<\/h2>\n

Zeng, Z.<\/a>; Bani-Mustafa, T.; Flage, R.; Zio, E.<\/a> (2020). An integrated risk index accounting for epistemic uncertainty in probability risk assessment<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X20968954<\/a><\/p>\n

Hu, Y.<\/a>; Baraldi, P.; Maio, F.; Liu, J.<\/a>; Zio, E.<\/a> (2020). A method for fault diagnosis in evolving environment using unlabeled data<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X20946529<\/a><\/p>\n

Bani-Mustafa, T.<\/a>; Pedroni, N.; Zio, E.<\/a>; Vasseur, D.; Beaudouin, F. (2020). A hierarchical tree-based decision-making approach for assessing the relative trustworthiness of risk assessment models<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X20929111<\/a><\/p>\n

Fauriat, W.; Zio, E.<\/a> (2020). Optimization of an aperiodic sequential inspection and condition-based maintenance policy driven by value of information<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2020.107133<\/a><\/p>\n

Ma, K.<\/a>; Song, N.; Jin, J.<\/a>; He, J.; Zio, E.<\/a> (2020). Configuration Optimization in Miniature Interferometric Fiber-Optic Gyroscopes for Space Application<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/JSEN.2020.2977584<\/a><\/p>\n

Duffey, R.; Zio, E.<\/a> (2020). CoVid-19 Pandemic Trend Modeling and Analysis to Support Resilience Decision-Making<\/strong>. MDPI AG. dx.doi.org\/10.3390\/biology9070156<\/a><\/p>\n

Compare, M.<\/a>; Baraldi, P.<\/a>; Zio, E.<\/a> (2020). Challenges to IoT-Enabled Predictive Maintenance for Industry 4.0<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/JIOT.2019.2957029<\/a><\/p>\n

Duffey, R.; Zio, E.<\/a> (2020). Analysing recovery from pandemics by Learning Theory: the case of CoVid-19<\/strong>. Cold Spring Harbor Laboratory. dx.doi.org\/10.1101\/2020.04.10.20060319<\/a><\/p>\n

Di Maio, F.<\/a>; Mascherona, R.; Zio, E.<\/a> (2020). Risk Analysis of Cyber-Physical Systems by GTST-MLD<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/JSYST.2019.2928046<\/a><\/p>\n

Yang, Z.<\/a>; Al-Dahidi, S.<\/a>; Baraldi, P.<\/a>; Zio, E.<\/a>; Montelatici, L. (2020). A Novel Concept Drift Detection Method for Incremental Learning in Nonstationary Environments<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNNLS.2019.2900956<\/a><\/p>\n

Duffey, R.; Zio, E.<\/a> (2020). Analysing Recovery From Pandemics by Learning Theory: The Case of CoVid-19<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/ACCESS.2020.3001344<\/a><\/p>\n

2019<\/h2>\n

Fang, C.; Dong, P.; Fang, Y.<\/a>; Zio, E.<\/a> (2019). Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X19889149<\/a><\/p>\n

Wang, T.; Pedroni, N.<\/a>; Zio, E.<\/a>; Mousseau, V.<\/a> (2019). Identification of Protective Actions to Reduce the Vulnerability of Safety\u2010Critical Systems to Malevolent Intentional Acts: An Optimization\u2010Based Decision\u2010Making Approach<\/strong>. Wiley. dx.doi.org\/10.1111\/risa.13420<\/a><\/p>\n

Compare, M.<\/a>; Bellani, L.; Cobelli, E.; Zio, E.<\/a>; Annunziata, F.; Carlevaro, F.; Sepe, M. (2019). A reinforcement learning approach to optimal part flow management for gas turbine maintenance<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X19869750<\/a><\/p>\n

Yang, B.<\/a>; Liu, R.<\/a>; Zio, E.<\/a> (2019). Remaining Useful Life Prediction Based on a Double-Convolutional Neural Network Architecture<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TIE.2019.2924605<\/a><\/p>\n

Fang, Y.<\/a>; Sansavini, G.<\/a>; Zio, E.<\/a> (2019). An Optimization\u2010Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards<\/strong>. Wiley. dx.doi.org\/10.1111\/risa.13287<\/a><\/p>\n

Fan, M.<\/a>; Zeng, Z.<\/a>; Zio, E.<\/a>; Kang, R.; Chen, Y.<\/a> (2019). A Sequential Bayesian Approach for Remaining Useful Life Prediction of Dependent Competing Failure Processes<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2018.2874459<\/a><\/p>\n

2018<\/h2>\n

Compare, M.; Marelli, P.; Baraldi, P.; Zio, E.<\/a> (2018). A Markov decision process framework for optimal operation of monitored multi-state systems<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X18757077<\/a><\/p>\n

Zeng, Z.<\/a>; Zio, E.<\/a> (2018). Dynamic Risk Assessment Based on Statistical Failure Data and Condition-Monitoring Degradation Data<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2017.2778804<\/a><\/p>\n

2015<\/h2>\n

Fink, O.; Zio, E.; Weidmann, U. (2015). A Classification Framework for Predicting Components’ Remaining Useful Life Based on Discrete-Event Diagnostic Data<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2015.2440531<\/a><\/p>\n

Liu, J.; Vitelli, V.; Zio, E.; Seraoui, R. (2015). A Novel Dynamic-Weighted Probabilistic Support Vector Regression-Based Ensemble for Prognostics of Time Series Data<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2015.2427156<\/a><\/p>\n

Baraldi, P.; Mangili, F.; Zio, E. (2015). A belief function theory based approach to combining different representation of uncertainty in prognostics<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ins.2014.12.051<\/a><\/p>\n

Di Maio, F.; Colli, D.; Zio, E.; Tao, L.; Tong, J. (2015). A Multi-State Physics Modeling approach for the reliability assessment of Nuclear Power Plants piping systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2015.02.007<\/a><\/p>\n

Di Maio, F.<\/a>; Baronchelli, S.; Zio, E. (2015). A Visual Interactive Method for Prime Implicants Identification<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2014.2371015<\/a><\/p>\n

Fedele, L.; Zio, E. (2015). An Innovative Methodology for Cost Optimization of the Maintenance of Medical Devices<\/strong>. Springer International Publishing. dx.doi.org\/10.1007\/978-3-319-11128-5_159<\/a><\/p>\n

Ak, R.; Vitelli, V.; Zio, E. (2015). An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNNLS.2015.2396933<\/a><\/p>\n

Kuznetsova, E.; Ruiz, C.; Li, Y.; Zio, E. (2015). Analysis of robust optimization for decentralized microgrid energy management under uncertainty<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ijepes.2014.07.064<\/a><\/p>\n

Baraldi, P.; Di Maio, F.<\/a>; Rigamonti, M.; Zio, E.; Seraoui, R. (2015). Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ymssp.2014.12.018<\/a><\/p>\n

Baraldi, P.; Podofillini, L.; Mkrtchyan, L.; Zio, E.; Dang, V. (2015). Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2015.01.016<\/a><\/p>\n

Baraldi, P.; Di Maio, F.; Genini, D.; Zio, E. (2015). Comparison of Data-Driven Reconstruction Methods For Fault Detection<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2015.2436384<\/a><\/p>\n

Lins, I.<\/a>; Droguett, E.; Moura, M.; Zio, E.; Jacinto, C. (2015). Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2015.01.007<\/a><\/p>\n

Yu, Y.; Ma, G.; Hao, Z.; Wang, S.; Niu, F.; Zio, E. (2015). Correlation analysis for screening key parameters for passive system reliability analysis<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2014.10.035<\/a><\/p>\n

Cadini, F.; Gioletta, A.; Zio, E. (2015). Estimation of passive systems functional failure probabilities by the modified meta-IS algorithm<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.pnucene.2015.01.014<\/a><\/p>\n

Di Maio, F.<\/a>; Nicola, G.; Zio, E.; Yu, Y. (2015). Finite mixture models for sensitivity analysis of thermal hydraulic codes for passive safety systems analysis<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.nucengdes.2015.04.035<\/a><\/p>\n

Fink, O.; Zio, E.; Weidmann, U. (2015). Fuzzy Classification With Restricted Boltzman Machines and Echo-State Networks for Predicting Potential Railway Door System Failures<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2015.2424213<\/a><\/p>\n

Compare, M.; Martini, F.; Zio, E. (2015). Genetic algorithms for condition-based maintenance optimization under uncertainty<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ejor.2015.01.057<\/a><\/p>\n

Compare, M.; Zio, E. (2015). Genetic Algorithms in the Framework of Dempster-Shafer Theory of Evidence for Maintenance Optimization Problems<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2015.2410193<\/a><\/p>\n

Baraldi, P.; Zio, E. (2015). Guest Editorial<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X15589882<\/a><\/p>\n

Pedroni, N.; Zio, E. (2015). Hybrid Uncertainty and Sensitivity Analysis of the Model of a Twin-Jet Aircraft<\/strong>. American Institute of Aeronautics and Astronautics (AIAA). dx.doi.org\/10.2514\/1.I010265<\/a><\/p>\n

Cadini, F.; Gioletta, A.; Zio, E. (2015). Improved metamodel-based importance sampling for the performance assessment of radioactive waste repositories<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2014.10.018<\/a><\/p>\n

Di Maio, F.<\/a>; Zio, E.; Smith, C.; Rychkov, V.<\/a> (2015). Integrated Deterministic and Probabilistic Safety Analysis for Safety Assessment of Nuclear Power Plants<\/strong>. Hindawi Limited. dx.doi.org\/10.1155\/2015\/136940<\/a><\/p>\n

Lin, Y.; Li, Y.; Zio, E. (2015). Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2014.2354874<\/a><\/p>\n

Compare, M.; Baraldi, P.; Turati, P.; Zio, E. (2015). Interacting multiple-models, state augmented Particle Filtering for fault diagnostics<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.probengmech.2015.01.001<\/a><\/p>\n

Wang, W.<\/a>; Scarf, P.; Wu, S.<\/a>; Zio, E. (2015). Mathematical Applications to Reliability and Maintenance Problems in Engineering Systems<\/strong>. Hindawi Limited. dx.doi.org\/10.1155\/2015\/629497<\/a><\/p>\n

Si, X.<\/a>; Hu, C.; Zio, E.; Li, G.<\/a> (2015). Modeling for Prognostics and Health Management: Methods and Applications<\/strong>. Hindawi Limited. dx.doi.org\/10.1155\/2015\/613896<\/a><\/p>\n

Cadini, F.; Tosoni, E.; Zio, E. (2015). Modeling the release and transport of 90Sr radionuclides from a superficial nuclear storage facility<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.1007\/s00477-015-1112-7<\/a><\/p>\n

Zio, E.; Delfanti, M.; Giorgi, L.; Olivieri, V.; Sansavini, G. (2015). Monte Carlo simulation-based probabilistic assessment of DG penetration in medium voltage distribution networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ijepes.2014.08.004<\/a><\/p>\n

Li, D.; Zhang, Q.; Zio, E.; Havlin, S.; Kang, R. (2015). Network reliability analysis based on percolation theory<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2015.05.021<\/a><\/p>\n

Fink, O.; Zio, E.; Weidmann, U. (2015). Novelty detection by multivariate kernel density estimation and growing neural gas algorithm<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ymssp.2014.04.022<\/a><\/p>\n

Fang, Y.; Pedroni, N.; Zio, E. (2015). Optimization of Cascade\u2010Resilient Electrical Infrastructures and its Validation by Power Flow Modeling<\/strong>. Wiley. dx.doi.org\/10.1111\/risa.12396<\/a><\/p>\n

Baraldi, P.; Di Maio, F.<\/a>; Genini, D.; Zio, E. (2015). Reconstruction of missing data in multidimensional time series by fuzzy similarity<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.asoc.2014.09.038<\/a><\/p>\n

Luo, P.; Sansavini, G.; Zio, E. (2015). Reliability analysis of smart grid communication network by simulation<\/strong>. IOS Press. dx.doi.org\/10.3233\/ICA-140469<\/a><\/p>\n

Li, Y.<\/a>; Valla, S.; Zio, E. (2015). Reliability assessment of generic geared wind turbines by GTST-MLD model and Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.renene.2015.04.035<\/a><\/p>\n

Rocchetta, R.; Li, Y.; Zio, E. (2015). Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2014.11.013<\/a><\/p>\n

Di Maio, F.<\/a>; Vagnoli, M.; Zio, E. (2015). Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis<\/strong>. Hindawi Limited. dx.doi.org\/10.1155\/2015\/693891<\/a><\/p>\n

Baraldi, P.; Di Maio, F.<\/a>; Turati, P.; Zio, E. (2015). Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ymssp.2014.09.013<\/a><\/p>\n

Zhao, W.; Tao, T.; Zio, E. (2015). System reliability prediction by support vector regression with analytic selection and genetic algorithm parameters selection<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.asoc.2015.02.026<\/a><\/p>\n

Chang, K.; Kim, S.; Chang, D.; Ahn, J.; Zio, E. (2015). Uncertainty analysis for target SIL determination in the offshore industry<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.jlp.2015.01.030<\/a><\/p>\n

Baraldi, P.; Di Maio, F.; Rigamonti, M.; Zio, E.; Seraoui, R. (2015). Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine<\/strong>. IOS Press. dx.doi.org\/10.3233\/IFS-141459<\/a><\/p>\n

Hu, Y.; Baraldi, P.; Di Maio, F.; Zio, E. (2015). A particle filtering and kernel smoothing-based approach for new design component prognostics<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2014.10.003<\/a><\/p>\n

Baraldi, P.; Mangili, F.<\/a>; Zio, E. (2015). A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.pnucene.2014.08.006<\/a><\/p>\n

2014<\/h2>\n

Maio, F.; Baronchelli, S.; Zio, E. (2014). A Computational Framework for Prime Implicants Identification in Noncoherent Dynamic Systems<\/strong>. Wiley. dx.doi.org\/10.1111\/risa.12251<\/a><\/p>\n

Razavi-Far, R.; Palade, V.; Zio, E. (2014). Invasive weed classification<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.1007\/s00521-014-1656-3<\/a><\/p>\n

Droguett, E.; Lins, I.; Moura, M.; Zio, E.; Jacinto, C. (2014). Variable selection and uncertainty analysis of scale growth rate under pre-salt oil wells conditions using support vector regression<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X14533105<\/a><\/p>\n

Prodan, I.; Zio, E. (2014). A model predictive control framework for reliable microgrid energy management<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ijepes.2014.03.017<\/a><\/p>\n

Liu, C.; Li, D.; Zio, E.; Kang, R. (2014). A Modeling Framework for System Restoration from Cascading Failures<\/strong>. Public Library of Science (PLoS). dx.doi.org\/10.1371\/journal.pone.0112363<\/a><\/p>\n

Hong, S.; Yang, H.; Zio, E.; Huang, N. (2014). A novel dynamics model of fault propagation and equilibrium analysis in complex dynamical communication network<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.amc.2014.09.029<\/a><\/p>\n

Al-Dahidi, S.; Baraldi, P.; Di Maio, F.<\/a>; Zio, E. (2014). A novel fault detection system taking into account uncertainties in the reconstructed signals<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2014.06.036<\/a><\/p>\n

Li, Y.; Zio, E. (2014). A quantum-inspired evolutionary approach for non-homogeneous redundancy allocation in series-parallel multi-state systems<\/strong>. IEEE. dx.doi.org\/10.1109\/ICRMS.2014.7107252<\/a><\/p>\n

Mena, R.; Hennebel, M.; Li, Y.<\/a>; Ruiz, C.; Zio, E. (2014). A risk-based simulation and multi-objective optimization framework for the integration of distributed renewable generation and storage<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.rser.2014.05.046<\/a><\/p>\n

Sansavini, G.<\/a>; Piccinelli, R.; Golea, L.<\/a>; Zio, E. (2014). A stochastic framework for uncertainty analysis in electric power transmission systems with wind generation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.renene.2013.11.002<\/a><\/p>\n

Cadini, F.; Gioletta, A.; Zio, E. (2014). An Improvement of a Metamodel-Based Importance Sampling Algorithm for Estimating Small Failure Probabilities<\/strong>. American Society of Civil Engineers. dx.doi.org\/10.1061\/9780784413609.211<\/a><\/p>\n

Hong, S.; Zhou, Z.; Zio, E.; Wang, W. (2014). An adaptive method for health trend prediction of rotating bearings<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.dsp.2014.08.006<\/a><\/p>\n

Bjerga, T.; Aven, T.; Zio, E. (2014). An illustration of the use of an approach for treating model uncertainties in risk assessment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2014.01.014<\/a><\/p>\n

Cadini, F.; Santos, F.; Zio, E. (2014). An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2014.06.023<\/a><\/p>\n

Kuznetsova, E.; Li, Y.; Ruiz, C.; Zio, E. (2014). An integrated framework of agent-based modelling and robust optimization for microgrid energy management<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.apenergy.2014.04.024<\/a><\/p>\n

Ferrario, E.; Pedroni, N.; Zio, E. (2014). Analysis of the Robustness of Critical Infrastructures Within a Multistate Systems-of-Systems Framework in the Presence of Epistemic Uncertainties<\/strong>. American Society of Civil Engineers. dx.doi.org\/10.1061\/9780784413609.073<\/a><\/p>\n

Ferrario, E.; Zio, E. (2014). Assessing nuclear power plant safety and recovery from earthquakes using a system-of-systems approach<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2013.07.006<\/a><\/p>\n

Wang, T.; Mousseau, V.; Pedroni, N.; Zio, E. (2014). Assessing the Performance of a Classification-Based Vulnerability Analysis Model<\/strong>. Wiley. dx.doi.org\/10.1111\/risa.12305<\/a><\/p>\n

Fang, Y.; Pedroni, N.; Zio, E. (2014). Comparing Topological and Physical Approaches to Network Modeling for the Optimization of Failure-Resilient Electrical Infrastructures<\/strong>. American Society of Civil Engineers. dx.doi.org\/10.1061\/9780784413609.074<\/a><\/p>\n

Flage, R.; Aven, T.; Zio, E.; Baraldi, P. (2014). Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment<\/strong>. Wiley. dx.doi.org\/10.1111\/risa.12247<\/a><\/p>\n

Hong, S.; Zhou, Z.; Zio, E.; Hong, K. (2014). Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.dsp.2013.12.010<\/a><\/p>\n

Razavi-Far, R.; Zio, E.; Palade, V. (2014). Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2014.03.056<\/a><\/p>\n

Baraldi, P.; Zio, E.; Mangili, F.; Gola, G.; Nystad, B. (2014). Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.1080\/18756891.2013.874670<\/a><\/p>\n

Di Maio, F.<\/a>; Nicola, G.; Zio, E.; Yu, Y. (2014). Ensemble-based sensitivity analysis of a Best Estimate Thermal Hydraulics model: Application to a Passive Containment Cooling System of an AP1000 Nuclear Power Plant<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2014.06.043<\/a><\/p>\n

Rocco, C.; Zio, E. (2014). Global Sensitivity Analysis of Power Systems Components\u2014Markov Reliability Models<\/strong>. American Society of Civil Engineers. dx.doi.org\/10.1061\/9780784413609.152<\/a><\/p>\n

Ferrario, E.; Zio, E. (2014). Goal Tree Success Tree\u2013Dynamic Master Logic Diagram and Monte Carlo simulation for the safety and resilience assessment of a multistate system of systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.engstruct.2013.11.001<\/a><\/p>\n

Di Maio, F.<\/a>; Baronchelli, S.; Zio, E. (2014). Hierarchical differential evolution for minimal cut sets identification: Application to nuclear safety systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ejor.2014.04.021<\/a><\/p>\n

Zio, E. (2014). Integrated deterministic and probabilistic safety assessment: Concepts, challenges, research directions<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.nucengdes.2014.09.004<\/a><\/p>\n

Kim, I.; Omoto, A.; Zio, E.; Yang, J.; Yanev, Y. (2014). Lessons Learned from the Fukushima Accident: An Integrated Perspective<\/strong>. Hindawi Limited. dx.doi.org\/10.1155\/2014\/213919<\/a><\/p>\n

Prodan, I.; Zio, E. (2014). On the microgrid energy management under a predictive control framework<\/strong>. IEEE. dx.doi.org\/10.1109\/CCA.2014.6981444<\/a><\/p>\n

Razavi-Far, R.; Palade, V.; Zio, E. (2014). Optimal detection of new classes of faults by an Invasive Weed Optimization method<\/strong>. IEEE. dx.doi.org\/10.1109\/IJCNN.2014.6889887<\/a><\/p>\n

Cadini, F.; Santos, F.; Zio, E. (2014). Passive systems failure probability estimation by the meta-AK-IS 2 algorithm<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.nucengdes.2014.06.025<\/a><\/p>\n

Fink, O.; Zio, E.; Weidmann, U. (2014). Predicting component reliability and level of degradation with complex-valued neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2013.08.004<\/a><\/p>\n

Compare, M.; Zio, E. (2014). Predictive Maintenance by Risk Sensitive Particle Filtering<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2014.2299651<\/a><\/p>\n

Fink, O.; Zio, E.; Weidmann, U. (2014). Quantifying the reliability of fault classifiers<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ins.2013.12.008<\/a><\/p>\n

Li, Y.; Ding, Y.; Zio, E. (2014). Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems Under Aleatory and Epistemic Uncertainties<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2014.2299031<\/a><\/p>\n

Mena, R.; Hennebel, M.; Li, Y.; Zio, E. (2014). Self-adaptable hierarchical clustering analysis and differential evolution for optimal integration of renewable distributed generation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.apenergy.2014.07.086<\/a><\/p>\n

Mena, R.; Zio, E.; Hennebel, M. (2014). Sensitivity analysis of a simulation model for evaluating renewable distributed generation on a power network<\/strong>. IEEE. dx.doi.org\/10.1109\/PMAPS.2014.6960673<\/a><\/p>\n

Yang, Z.; Chen, Y.; Li, Y.; Zio, E.; Kang, R. (2014). Smart electricity meter reliability prediction based on accelerated degradation testing and modeling<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ijepes.2013.11.023<\/a><\/p>\n

LO, C.; PEDRONI, N.; ZIO, E. (2014). TREATING UNCERTAINTIES IN A NUCLEAR SEISMIC PROBABILISTIC RISK ASSESSMENT BY MEANS OF THE DEMPSTER-SHAFER THEORY OF EVIDENCE<\/strong>. Elsevier BV. dx.doi.org\/10.5516\/NET.03.2014.701<\/a><\/p>\n

Baraldi, P.; Compare, M.; Zio, E. (2014). Uncertainty treatment in expert information systems for maintenance policy assessment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.asoc.2014.05.024<\/a><\/p>\n

Zio, E. (2014). Vulnerability and Risk Analysis of Critical Infrastructures<\/strong>. American Society of Civil Engineers. dx.doi.org\/10.1061\/9780784413609.003<\/a><\/p>\n

Sansavini, G.; Zio, E. (2014). Vulnerability of Transmission Grids with Variable Generation and Consumption: A Complex Network Systems Perspective<\/strong>. American Society of Civil Engineers. dx.doi.org\/10.1061\/9780784413609.067<\/a><\/p>\n

2016<\/h2>\n

Ak, R.; Fink, O.; Zio, E. (2016). Two Machine Learning Approaches for Short-Term Wind Speed Time-Series Prediction<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNNLS.2015.2418739<\/a><\/p>\n

2017<\/h2>\n

Fang, Y.; Pedroni, N.; Zio, E. (2017). Comparing Network-Centric and Power Flow Models for the Optimal Allocation of Link Capacities in a Cascade-Resilient Power Transmission Network<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/JSYST.2014.2352152<\/a><\/p>\n

2013<\/h2>\n

Alipour, Z.; Monfared, M.; Zio, E. (2013). Comparing topological and reliability-based vulnerability analysis of Iran power transmission network<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X13501652<\/a><\/p>\n

Aven, T.; Zio, E. (2013). Foundational Issues in Risk Assessment and Risk Management<\/strong>. Wiley. dx.doi.org\/10.1111\/risa.12132<\/a><\/p>\n

Viveros, P.; Zio, E.; Nikulin, C.; Stegmaier, R.; Bravo, G. (2013). Resolving equipment failure causes by root cause analysis and theory of inventive problem solving<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X13494775<\/a><\/p>\n

Wei, Z.; Tao, T.; ZhuoShu, D.; Zio, E. (2013). A dynamic particle filter-support vector regression method for reliability prediction<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2013.05.021<\/a><\/p>\n

Zio, E.; Ferrario, E. (2013). A framework for the system-of-systems analysis of the risk for a safety-critical plant exposed to external events<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2013.01.005<\/a><\/p>\n

Li, Y.; Pedroni, N.; Zio, E. (2013). A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TPWRS.2013.2241795<\/a><\/p>\n

Fang, C.; Marle, F.; Xie, M.; Zio, E. (2013). An Integrated Framework for Risk Response Planning Under Resource Constraints in Large Engineering Projects<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TEM.2013.2242078<\/a><\/p>\n

Prodan, I.; Zio, E. (2013). An optimization-based control approach for reliable microgrid energy management under uncertainties<\/strong>. IEEE. dx.doi.org\/10.1109\/ISEPS.2013.6707950<\/a><\/p>\n

Mena, R.; Zio, E.; Kristjanpoller, F.; Arata, A. (2013). Availability-based simulation and optimization modeling framework for open-pit mine truck allocation under dynamic constraints<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ijmst.2013.01.017<\/a><\/p>\n

Baraldi, P.; Compare, M.; Zio, E. (2013). Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2013.2240885<\/a><\/p>\n

Baraldi, P.; Compare, M.; Sauco, S.; Zio, E. (2013). Ensemble neural network-based particle filtering for prognostics<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ymssp.2013.07.010<\/a><\/p>\n

Zio, E.; Compare, M. (2013). Evaluating maintenance policies by quantitative modeling and analysis<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.08.002<\/a><\/p>\n

DI MAIO, F.; ZIO, E. (2013). FAILURE PROGNOSTICS BY A DATA-DRIVEN SIMILARITY-BASED APPROACH<\/strong>. World Scientific Pub Co Pte Lt. dx.doi.org\/10.1142\/S0218539313500010<\/a><\/p>\n

Di Maio, F.; Baraldi, P.; Zio, E.; Seraoui, R. (2013). Fault Detection in Nuclear Power Plants Components by a Combination of Statistical Methods<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2013.2285033<\/a><\/p>\n

Rocco, C.; Zio, E. (2013). Global Sensitivity Analysis in a Multi-State Physics Model of Component Degradation Based on a Hybrid State-Space Enrichment and Polynomial Chaos Expansion Approach<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2013.2284737<\/a><\/p>\n

Pedroni, N.; Zio, E.; Ferrario, E.; Pasanisi, A.; Couplet, M. (2013). Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.compstruc.2013.02.003<\/a><\/p>\n

Zio, E.; Aven, T. (2013). Industrial disasters: Extreme events, extremely rare. Some reflections on the treatment of uncertainties in the assessment of the associated risks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.psep.2012.01.004<\/a><\/p>\n

Baraldi, P.; Mangili, F.; Zio, E. (2013). Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.12.004<\/a><\/p>\n

Baraldi, P.; Compare, M.; Zio, E. (2013). Maintenance policy performance assessment in presence of imprecision based on Dempster\u2013Shafer Theory of Evidence<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ins.2012.11.003<\/a><\/p>\n

Baraldi, P.; Cadini, F.; Mangili, F.; Zio, E. (2013). Model-based and data-driven prognostics under different available information<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.probengmech.2013.01.003<\/a><\/p>\n

Cadini, F.; De Sanctis, J.; Bertoli, I.; Zio, E. (2013). Monte Carlo simulation of radionuclide migration in fractured rock for the performance assessment of radioactive waste repositories<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.10.002<\/a><\/p>\n

Ak, R.; Li, Y.; Vitelli, V.; Zio, E.; L\u00f3pez Droguett, E.; Magno Couto Jacinto, C. (2013). NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2012.08.018<\/a><\/p>\n

Li, Y.; Sansavini, G.; Zio, E. (2013). Non-dominated sorting binary differential evolution for the multi-objective optimization of cascading failures protection in complex networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.11.002<\/a><\/p>\n

Liu, J.; Seraoui, R.; Vitelli, V.; Zio, E. (2013). Nuclear power plant components condition monitoring by probabilistic support vector machine<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2013.01.005<\/a><\/p>\n

Fink, O.; Zio, E.; Weidmann, U. (2013). Predicting time series of railway speed restrictions with time-dependent machine learning techniques<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2013.04.038<\/a><\/p>\n

Kuznetsova, E.; Li, Y.; Ruiz, C.; Zio, E.; Ault, G.; Bell, K. (2013). Reinforcement learning for microgrid energy management<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.energy.2013.05.060<\/a><\/p>\n

Zhang, Q.; Li, D.; Kang, R.; Zio, E.; Zhang, P. (2013). Reliability Analysis of Interdependent Networks Using Percolation Theory<\/strong>. IEEE. dx.doi.org\/10.1109\/SITIS.2013.102<\/a><\/p>\n

Johansson, J.; Hassel, H.; Zio, E. (2013). Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2013.02.027<\/a><\/p>\n

Fink, O.; Zio, E. (2013). Semi-Markov processes with semi-regenerative states for the availability analysis of chemical process plants with storage units<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X13480765<\/a><\/p>\n

Cadini, F.; Zio, E. (2013). Simulation of Reactive Diffusion in Clays By a Continuous-Time Markovian Particle-Tracking Scheme<\/strong>. American Chemical Society (ACS). dx.doi.org\/10.1021\/jp405520v<\/a><\/p>\n

Baraldi, P.; Compare, M.; Zio, E. (2013). Uncertainty analysis in degradation modeling for maintenance policy assessment<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X13488479<\/a><\/p>\n

Ripamonti, G.; Lonati, G.; Baraldi, P.; Cadini, F.; Zio, E. (2013). Uncertainty propagation in a model for the estimation of the ground level concentration of dioxin\/furans emitted from a waste gasification plant<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2013.05.012<\/a><\/p>\n

Baraldi, P.; Di Maio, F.; Zio, E. (2013). Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.1080\/18756891.2013.804145<\/a><\/p>\n

Fang, Y.; Zio, E. (2013). Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2013.02.021<\/a><\/p>\n

Zio, E.; Sansavini, G. (2013). Vulnerability of Smart Grids With Variable Generation and Consumption: A System of Systems Perspective<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TSMCA.2012.2207106<\/a><\/p>\n

Zio, E. (2013). Prognostics and Health Management of Industrial Equipment<\/strong>. IGI Global. dx.doi.org\/10.4018\/978-1-4666-2095-7.ch017<\/a><\/p>\n

2012<\/h2>\n

Baraldi, P.; Balestrero, A.; Compare, M.; Benetrix, L.; Despujols, A.; Zio, E. (2012). A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age<\/strong>. Wiley. dx.doi.org\/10.1002\/qre.1388<\/a><\/p>\n

Ciriello, V.; Di Federico, V.; Riva, M.; Cadini, F.; De Sanctis, J.; Zio, E.; Guadagnini, A. (2012). Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.1007\/s00477-012-0616-7<\/a><\/p>\n

Flage, R.; Baraldi, P.; Zio, E.; Aven, T. (2012). Probability and Possibility\u2010Based Representations of Uncertainty in Fault Tree Analysis<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2012.01873.x<\/a><\/p>\n

Pedroni, N.; Zio, E. (2012). Uncertainty Analysis in Fault Tree Models with Dependent Basic Events<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2012.01903.x<\/a><\/p>\n

Cadini, F.; De Sanctis, J.; Bertoli, I.; Zio, E. (2012). Upscaling of a dual-permeability Monte Carlo simulation model for contaminant transport in fractured networks by genetic algorithm parameter identification<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.1007\/s00477-012-0595-8<\/a><\/p>\n

Baraldi, P.; Mangili, F.; Zio, E. (2012). A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2012.2221037<\/a><\/p>\n

Li, Y.; Zio, E. (2012). A multi-state model for the reliability assessment of a distributed generation system via universal generating function<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.04.008<\/a><\/p>\n

Cadini, F.; Bertoli, I.; De Sanctis, J.; Zio, E. (2012). A novel particle tracking scheme for modeling contaminant transport in a dual\u2010continua fractured medium<\/strong>. American Geophysical Union (AGU). dx.doi.org\/10.1029\/2011WR011694<\/a><\/p>\n

Couillet, R.; Zio, E. (2012). A subspace approach to fault diagnostics in large power systems<\/strong>. IEEE. dx.doi.org\/10.1109\/ISCCSP.2012.6217782<\/a><\/p>\n

Flage, R.; Aven, T.; Baraldi, P.; Zio, E. (2012). An imprecision importance measure for uncertainty representations interpreted as lower and upper probabilities, with special emphasis on possibility theory<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X12467591<\/a><\/p>\n

Cadini, F.; De Sanctis, J.; Cherubini, A.; Zio, E.; Riva, M.; Guadagnini, A. (2012). An integrated simulation framework for the performance assessment of radioactive waste repositories<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2011.09.002<\/a><\/p>\n

Zio, E.; Golea, L. (2012). Analyzing the topological, electrical and reliability characteristics of a power transmission system for identifying its critical elements<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2011.11.009<\/a><\/p>\n

Zio, E.; Piccinelli, R.; Delfanti, M.; Olivieri, V.; Pozzi, M. (2012). Application of the load flow and random flow models for the analysis of power transmission networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.02.005<\/a><\/p>\n

Di Maio, F.; Tsui, K.; Zio, E. (2012). Combining Relevance Vector Machines and exponential regression for bearing residual life estimation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ymssp.2012.03.011<\/a><\/p>\n

Baraldi, P.; Di Maio, F.; Pappaglione, L.; Zio, E.; Seraoui, R. (2012). Condition monitoring of electrical power plant components during operational transients<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X12463502<\/a><\/p>\n

Razavi-Far, R.; Baraldi, P.; Zio, E. (2012). Dynamic Weighting Ensembles for Incremental Learning and Diagnosing New Concept Class Faults in Nuclear Power Systems<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNS.2012.2209125<\/a><\/p>\n

Ale, B.; Papazoglou, I.; Zio, E. (2012). Editorial Special Issue ESREL 2010<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.06.015<\/a><\/p>\n

PEDRONI, N.; ZIO, E. (2012). EMPIRICAL COMPARISON OF METHODS FOR THE HIERARCHICAL PROPAGATION OF HYBRID UNCERTAINTY IN RISK ASSESSMENT, IN PRESENCE OF DEPENDENCES<\/strong>. World Scientific Pub Co Pte Ltd. dx.doi.org\/10.1142\/S0218488512500250<\/a><\/p>\n

Baraldi, P.; Mangili, F.; Zio, E.; Zio, E. (2012). Ensemble of bootstrapped models for the prediction of the remaining useful life of a creeping turbine blade<\/strong>. IEEE. dx.doi.org\/10.1109\/ICPHM.2012.6299506<\/a><\/p>\n

Di Maio, F.; Hu, J.; Tse, P.; Pecht, M.; Tsui, K.; Zio, E. (2012). Ensemble-approaches for clustering health status of oil sand pumps<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2011.10.008<\/a><\/p>\n

Zio, E.; Di Maio, F. (2012). Fatigue crack growth estimation by relevance vector machine<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2012.02.199<\/a><\/p>\n

Rocco, C.; Zio, E. (2012). Global Sensitivity Analysis of Multi-State Markov Reliability Models of Power Equipment Approximated by Polynomial Chaos Expansion \/ Analiza Globalnej Wra\u017cliwo\u015bci Wielostanowych Modeli Niezawodno\u015bci Markowa Dla Urz\u0105dze\u0144 Energetycznych Aproksymowanych Za Pomoc\u0105 Rozwini\u0119cia W Chaos Wielomianowy<\/strong>. Index Copernicus. dx.doi.org\/10.2478\/jok-2013-0038<\/a><\/p>\n

Zio, E.; Golea, L.; Rocco S., C. (2012). Identifying groups of critical edges in a realistic electrical network by multi-objective genetic algorithms<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2011.11.008<\/a><\/p>\n

Zio, E.; Pedroni, N. (2012). Monte Carlo simulation-based sensitivity analysis of the model of a thermal\u2013hydraulic passive system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2011.08.006<\/a><\/p>\n

Fang, C.; Marle, F.; Zio, E.; Bocquet, J. (2012). Network theory-based analysis of risk interactions in large engineering projects<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.04.005<\/a><\/p>\n

Cadini, F.; De Sanctis, J.; Cherubini, A.; Zio, E.; Riva, M.; Guadagnini, A. (2012). Nominal Range Sensitivity Analysis of peak radionuclide concentrations in randomly heterogeneous aquifers<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2012.05.005<\/a><\/p>\n

Zio, E.; Golea, L.; Sansavini, G. (2012). Optimizing protections against cascades in network systems: A modified binary differential evolution algorithm<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2012.03.007<\/a><\/p>\n

Cadini, F.; Zio, E.; Peloni, G. (2012). Particle Filtering for the Detection of Fault Onset Time in Hybrid Dynamic Systems With Autonomous Transitions<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2011.2182224<\/a><\/p>\n

Cadini, F.; Avram, D.; Pedroni, N.; Zio, E. (2012). Subset Simulation of a reliability model for radioactive waste repository performance assessment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2011.12.012<\/a><\/p>\n

Li, Y.; Zio, E. (2012). Uncertainty analysis of the adequacy assessment model of a distributed generation system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.renene.2011.10.025<\/a><\/p>\n

Baraldi, P.; Di Maio, F.; Zio, E. (2012). Unsupervised clustering for fault diagnosis<\/strong>. IEEE. dx.doi.org\/10.1109\/PHM.2012.6228844<\/a><\/p>\n

2011<\/h2>\n

Lins, I.; Moura, M.; Zio, E.; Droguett, E. (2011). A particle swarm\u2010optimized support vector machine for reliability prediction<\/strong>. Wiley. dx.doi.org\/10.1002\/qre.1221<\/a><\/p>\n

Viveros, P.; Zio, E.; Kristjanpoller, F.; Arata, A. (2011). Integrated system reliability and productive capacity analysis of a production line. A case study for a Chilean mining process<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006X11408675<\/a><\/p>\n

Zio, E.; Bazzo, R. (2011). A clustering procedure for reducing the number of representative solutions in the Pareto Front of multiobjective optimization problems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ejor.2010.10.021<\/a><\/p>\n

Baraldi, P.; Gola, G.; Zio, E.; Roverso, D.; Hoffmann, M. (2011). A randomized model ensemble approach for reconstructing signals from faulty sensors<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2011.01.121<\/a><\/p>\n

Fang, C.; Marle, F.; Zio, E. (2011). An integrated framework for the optimization of project risk response plan under resource constraints with genetic algorithm<\/strong>. IEEE. dx.doi.org\/10.1109\/ICQR2MSE.2011.5976743<\/a><\/p>\n

Cadini, F.; Zio, E.; Golea, L.; Petrescu, C. (2011). Application of multi-objective genetic algorithms to two case studies of reliability efficiency analysis and optimal expansion of electrical transmission networks<\/strong>. SAGE Publications. dx.doi.org\/10.1177\/1748006XJRR320<\/a><\/p>\n

Baraldi, P.; Razavi-Far, R.; Zio, E. (2011). Bagged ensemble of Fuzzy C-Means classifiers for nuclear transient identification<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2010.12.009<\/a><\/p>\n

Amato, A.; Compare, M.; Gallisto, M.; Maccari, A.; Paganelli, M.; Zio, E. (2011). Business interruption and loss of assets risk assessment in support of the design of an innovative concentrating solar power plant<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.renene.2010.10.019<\/a><\/p>\n

Baraldi, P.; Razavi-Far, R.; Zio, E. (2011). Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.11.005<\/a><\/p>\n

Zio, E.; Sansavini, G. (2011). Component Criticality in Failure Cascade Processes of Network Systems<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2011.01584.x<\/a><\/p>\n

Moura, M.; Zio, E.; Lins, I.; Droguett, E. (2011). Failure and reliability prediction by support vector machines regression of time series data<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2011.06.006<\/a><\/p>\n

Di Maio, F.; Secchi, P.; Vantini, S.; Zio, E. (2011). Fuzzy C-Means Clustering of Signal Functional Principal Components for Post-Processing Dynamic Scenarios of a Nuclear Power Plant Digital Instrumentation and Control System<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2011.2134230<\/a><\/p>\n

Baraldi, P.; Canesi, R.; Zio, E.; Seraoui, R.; Chevalier, R. (2011). Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components<\/strong>. IOS Press. dx.doi.org\/10.3233\/ICA-2011-0375<\/a><\/p>\n

Zio, E.; Pedroni, N. (2011). How to effectively compute the reliability of a thermal\u2013hydraulic nuclear passive system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.nucengdes.2010.10.029<\/a><\/p>\n

Zio, E.; Bazzo, R. (2011). Level Diagrams analysis of Pareto Front for multiobjective system redundancy allocation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.12.016<\/a><\/p>\n

Zio, E.; Sansavini, G. (2011). Modeling Interdependent Network Systems for Identifying Cascade-Safe Operating Margins<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2010.2104211<\/a><\/p>\n

Baraldi, P.; Compare, M.; Despujols, A.; Zio, E. (2011). Modelling the effects of maintenance on the degradation of a water-feeding turbo-pump of a nuclear power plant<\/strong>. SAGE Publications. dx.doi.org\/10.1243\/1748006XJRR336<\/a><\/p>\n

Zio, E.; Viadana, G. (2011). Optimization of the inspection intervals of a safety system in a nuclear power plant by Multi-Objective Differential Evolution (MODE)<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2011.06.010<\/a><\/p>\n

Zio, E.; Peloni, G. (2011). Particle filtering prognostic estimation of the remaining useful life of nonlinear components<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.08.009<\/a><\/p>\n

Baraldi, P.; Zio, E.; Gola, G.; Roverso, D.; Hoffmann, M. (2011). Signal reconstruction by a GA-optimized ensemble of PCA models<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.nucengdes.2010.10.012<\/a><\/p>\n

Aven, T.; Zio, E. (2011). Some considerations on the treatment of uncertainties in risk assessment for practical decision making<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.06.001<\/a><\/p>\n

Zio, E. (2011). Stochastic Simulation of Critical Infrastructures for Electric Power Transmission<\/strong>. Springer Netherlands. dx.doi.org\/10.1007\/978-94-007-0719-1_9<\/a><\/p>\n

Baraldi, P.; Zio, E.; Gola, G.; Roverso, D.; Hoffmann, M. (2011). Two novel procedures for aggregating randomized model ensemble outcomes for robust signal reconstruction in nuclear power plants monitoring systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2010.11.007<\/a><\/p>\n

Zio, E.; Aven, T. (2011). Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them?<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.enpol.2011.07.030<\/a><\/p>\n

2010<\/h2>\n

Baraldi, P.; Zio, E. (2010). A Comparison Between Probabilistic and Dempster-Shafer Theory Approaches to Model Uncertainty Analysis in the Performance Assessment of Radioactive Waste Repositories<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2010.01416.x<\/a><\/p>\n

Zio, E.; Di Maio, F.; Stasi, M. (2010). A data-driven approach for predicting failure scenarios in nuclear systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2010.01.017<\/a><\/p>\n

Zio, E.; Di Maio, F. (2010). A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2009.08.001<\/a><\/p>\n

Baraldi, P.; Cammi, A.; Mangili, F.; Zio, E. (2010). An ensemble approach to sensor fault detection and signal reconstruction for nuclear system control<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2010.03.002<\/a><\/p>\n

Podofillini, L.; Mercurio, D.; Dang, V.; Zio, E. (2010). An identification and grouping approach to analyze the output of a dynamic safety assessment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.sbspro.2010.05.198<\/a><\/p>\n

Zio, E.; Pedroni, N. (2010). An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.06.007<\/a><\/p>\n

Pedroni, N.; Zio, E.; Apostolakis, G. (2010). Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal\u2013hydraulic passive system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2009.11.009<\/a><\/p>\n

Cadini, F.; Peloni, G.; Zio, E. (2010). Detection of the time of failure of a hybrid system by particle filtering in a log-likelihood ratio approach<\/strong>. IEEE. dx.doi.org\/10.1109\/PHM.2010.5413504<\/a><\/p>\n

Podofillini, L.; Zio, E.; Mercurio, D.; Dang, V. (2010). Dynamic safety assessment: Scenario identification via a possibilistic clustering approach<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.01.004<\/a><\/p>\n

Schneidewind, N.; Montrose, M.; Feinberg, A.; Ghazarian, A.; McLinn, J.; Hansen, C.; Laplante, P.; Sinnadurai, N.; Zio, E.; Linger, R.; Wong, E.; Shieh, S.; Childs, J. (2010). IEEE Reliability Society Technical Operations Annual Technical Report for 2010<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2010.2052190<\/a><\/p>\n

Baraldi, P.; Cammi, A.; Mangili, F.; Zio, E. (2010). Local Fusion of an Ensemble of Models for the Reconstruction of Faulty Signals<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNS.2010.2042968<\/a><\/p>\n

Cadini, F.; De Sanctis, J.; Girotti, T.; Zio, E.; Luce, A.; Taglioni, A. (2010). Monte Carlo-based assessment of the safety performance of a radioactive waste repository<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.04.002<\/a><\/p>\n

Cadini, F.; De Sanctis, J.; Girotti, T.; Zio, E.; Luce, A.; Taglioni, A. (2010). Monte Carlo estimation of radionuclide release at a repository scale<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2010.02.011<\/a><\/p>\n

Zio, E.; Bazzo, R. (2010). Multiobjective optimization of the inspection intervals of a nuclear safety system: A clustering-based framework for reducing the Pareto Front<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2010.02.020<\/a><\/p>\n

Cadini, F.; Zio, E.; Petrescu, C. (2010). Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2009.09.007<\/a><\/p>\n

Zio, E.; Apostolakis, G.; Pedroni, N. (2010). Quantitative functional failure analysis of a thermal\u2013hydraulic passive system by means of bootstrapped Artificial Neural Networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2010.02.012<\/a><\/p>\n

Zio, E.; Piccinelli, R. (2010). Randomized flow model and centrality measure for electrical power transmission network analysis<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2009.11.008<\/a><\/p>\n

Zio, E.; Di Maio, F.; Tong, J. (2010). Safety margins confidence estimation for a passive residual heat removal system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2010.03.006<\/a><\/p>\n

Zio, E.; Pedroni, N. (2010). Sensitivity analysis of the model of a nuclear passive system by means of Subset Simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.sbspro.2010.05.224<\/a><\/p>\n

Cadini, F.; Avram, D.; Zio, E. (2010). System state estimation by particle filtering for fault diagnosis and prognosis<\/strong>. SAGE Publications. dx.doi.org\/10.1243\/1748006XJRR309<\/a><\/p>\n

Podofillini, L.; Dang, V.; Zio, E.; Baraldi, P.; Librizzi, M. (2010). Using Expert Models in Human Reliability Analysis-A Dependence Assessment Method Based on Fuzzy Logic<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2010.01425.x<\/a><\/p>\n

Yu, Y.; Tao, L.; Jiejuan, T.; Jun, Z.; Francesco, D.; Enrico, Z.; Aling, Z. (2010). Variance Decomposition Sensitivity Analysis of a Passive Residual Heat Removal System Model<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.sbspro.2010.05.221<\/a><\/p>\n

2009<\/h2>\n

Sansavini, G.; Hajj, M.; Puri, I.; Zio, E. (2009). A deterministic representation of cascade spreading in complex networks<\/strong>. IOP Publishing. dx.doi.org\/10.1209\/0295-5075\/87\/48004<\/a><\/p>\n

Zio, E.; Baraldi, P.; Popescu, I. (2009). A fuzzy decision tree method for fault classification in the steam generator of a pressurized water reactor<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2009.04.011<\/a><\/p>\n

Zio, E.; Baraldi, P.; Librizzi, M.; Podofillini, L.; Dang, V. (2009). A fuzzy set-based approach for modeling dependence among human errors<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.fss.2009.01.016<\/a><\/p>\n

Baraldi, P.; Zio, E.; Compare, M. (2009). A method for ranking components importance in presence of epistemic uncertainties<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.jlp.2009.02.013<\/a><\/p>\n

Zio, E.; Gola, G. (2009). A neuro-fuzzy technique for fault diagnosis and its application to rotating machinery<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2007.03.040<\/a><\/p>\n

Guedes Soares, C.; Zio, E. (2009). Accident modelling and prevention at ESREL 2006<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.aap.2009.04.008<\/a><\/p>\n

Baraldi, P.; Pedroni, N.; Zio, E. (2009). Application of a niched Pareto genetic algorithm for selecting features for nuclear transients classification<\/strong>. Hindawi Limited. dx.doi.org\/10.1002\/int.20328<\/a><\/p>\n

Zio, E.; Pedroni, N. (2009). Building confidence in the reliability assessment of thermal-hydraulic passive systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.03.006<\/a><\/p>\n

Andrews, J.; Berenguer, C.; Eid, M.; Zio, E. (2009). ESReDA\/ESRA maintenance modelling and applications project group<\/strong>. IEEE. dx.doi.org\/10.1109\/ICRMS.2009.5270126<\/a><\/p>\n

Marone, A.; Fiorini, C.; Baraldi, P.; Cadini, F.; Zio, E.; Camera, F. (2009). Employing Neural Network to determine the position of interaction of medium-high energy gamma rays<\/strong>. IEEE. dx.doi.org\/10.1109\/NSSMIC.2009.5402011<\/a><\/p>\n

Zio, E.; Pedroni, N. (2009). Estimation of the functional failure probability of a thermal\u2013hydraulic passive system by Subset Simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.nucengdes.2008.11.005<\/a><\/p>\n

Zio, E.; Pedroni, N. (2009). Functional failure analysis of a thermal\u2013hydraulic passive system by means of Line Sampling<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2009.05.010<\/a><\/p>\n

Mercurio, D.; Podofillini, L.; Zio, E.; Dang, V. (2009). Identification and classification of dynamic event tree scenarios via possibilistic clustering: Application to a steam generator tube rupture event<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.aap.2008.08.013<\/a><\/p>\n

Zio, E.; Vaurio, J. (2009). Maintenance modelling and applications<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.05.001<\/a><\/p>\n

Cadini, F.; Zio, E.; Avram, D. (2009). Model-based Monte Carlo state estimation for condition-based component replacement<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.08.003<\/a><\/p>\n

Baraldi, P.; Zio, E.; Compare, M.; Rossetti, G.; Despujols, A. (2009). Modeling of degradation mechanisms in electrical components taking into account their actual living conditions<\/strong>. IEEE. dx.doi.org\/10.1109\/ICRMS.2009.5270212<\/a><\/p>\n

Marseguerra, M.; Zio, E. (2009). Monte Carlo simulation for model-based fault diagnosis in dynamic systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.02.013<\/a><\/p>\n

Cadini, F.; De Sanctis, J.; Zio, E.; Avram, D.; Girotti, T.; Luce, A.; Taglioni, A. (2009). Monte Carlo Simulation of a Compartment Model of Radionuclide Migration at a Radioactive Waste Repository<\/strong>. ASMEDC. dx.doi.org\/10.1115\/ICEM2009-16168<\/a><\/p>\n

Cadini, F.; Zio, E.; Avram, D. (2009). Monte Carlo-based filtering for fatigue crack growth estimation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.probengmech.2008.10.002<\/a><\/p>\n

Zio, E.; Broggi, M.; Pedroni, N. (2009). Nuclear reactor dynamics on-line estimation by Locally Recurrent Neural Networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.pnucene.2008.11.006<\/a><\/p>\n

Zio, E.; Baraldi, P.; Pedroni, N. (2009). Optimal power system generation scheduling by multi-objective genetic algorithms with preferences<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.04.004<\/a><\/p>\n

Zio, E.; Zoia, A. (2009). Parameter Identification in Degradation Modeling by Reversible-Jump Markov Chain Monte Carlo<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2008.2011674<\/a><\/p>\n

Zio, E.; Maio, F. (2009). Processing dynamic scenarios from a reliability analysis of a nuclear power plant digital instrumentation and control system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2009.06.012<\/a><\/p>\n

Zio, E. (2009). Reliability engineering: Old problems and new challenges<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.06.002<\/a><\/p>\n

Eusgeld, I.; Kr\u00f6ger, W.; Sansavini, G.; Schl\u00e4pfer, M.; Zio, E. (2009). The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.10.011<\/a><\/p>\n

Baraldi, P.; Librizzi, M.; Zio, E.; Podofillini, L.; Dang, V. (2009). Two techniques of sensitivity and uncertainty analysis of fuzzy expert systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.eswa.2009.04.036<\/a><\/p>\n

Cadini, F.; Zio, E.; Petrescu, C. (2009). Using Centrality Measures to Rank the Importance of the Components of a Complex Network Infrastructure<\/strong>. Springer Berlin Heidelberg. dx.doi.org\/10.1007\/978-3-642-03552-4_14<\/a><\/p>\n

2008<\/h2>\n

Baraldi, P.; Zio, E. (2008). A Combined Monte Carlo and Possibilistic Approach to Uncertainty Propagation in Event Tree Analysis<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2008.01085.x<\/a><\/p>\n

Zio, E.; Baraldi, P.; Popescu, I. (2008). A Fuzzy Decision Tree for Fault Classification<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2008.01002.x<\/a><\/p>\n

Cadini, F.; Zio, E.; Kopustinskas, V.; Urbonas, R. (2008). A model based on bootstrapped neural networks for computing the maximum fuel cladding temperature in an Rmbk-1500 nuclear reactor accident<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.nucengdes.2008.01.018<\/a><\/p>\n

Zio, E.; Sansavini, G. (2008). A systematic procedure for analysing network systems<\/strong>. Inderscience Publishers. dx.doi.org\/10.1504\/IJCIS.2008.016099<\/a><\/p>\n

ZIO, E.; SANSAVINI, G.; MAJA, R.; MARCHIONNI, G. (2008). AN ANALYTICAL APPROACH TO THE SAFETY OF ROAD NETWORKS<\/strong>. World Scientific Pub Co Pte Ltd. dx.doi.org\/10.1142\/S0218539308002939<\/a><\/p>\n

Cadini, F.; Zio, E. (2008). Application of Particle Filtering for Estimating the Dynamics of Nuclear Systems<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNS.2008.915687<\/a><\/p>\n

Zio, E.; Zoia, A. (2008). Bayesian inference of BWR model parameters by Markov chain Monte Carlo<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2008.03.007<\/a><\/p>\n

Zio, E.; Di Maio, F. (2008). Bootstrap and Order Statistics for Quantifying Thermal-Hydraulic Code Uncertainties in the Estimation of Safety Margins<\/strong>. Hindawi Limited. dx.doi.org\/10.1155\/2008\/340164<\/a><\/p>\n

Podofillini, L.; Zio, E. (2008). Designing a risk-informed balanced system by genetic algorithms: Comparison of different balancing criteria<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.03.015<\/a><\/p>\n

Zio, E.; Baraldi, P.; Gola, G. (2008). Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.asoc.2007.10.005<\/a><\/p>\n

Zio, E.; Baraldi, P.; Popescu, I. (2008). From Fuzzy Clustering to a Fuzzy Rule-Based Classification Model<\/strong>. Springer Science and Business Media LLC. dx.doi.org\/10.2991\/ijcis.2008.1.1.5<\/a><\/p>\n

Zio, E.; Baraldi, P.; Popescu, I. (2008). Fuzzy Decision Trees as Intelligent Decision Support Systems for Fault Diagnosis<\/strong>. Springer Berlin Heidelberg. dx.doi.org\/10.1007\/978-3-540-78308-4_10<\/a><\/p>\n

Baraldi, P.; Popescu, I.; Zio, E. (2008). Predicting the Time To Failure of a randomly degrading component by a hybrid Monte Carlo and possibilistic method<\/strong>. IEEE. dx.doi.org\/10.1109\/PHM.2008.4711455<\/a><\/p>\n

Secchi, P.; Zio, E.; Di Maio, F. (2008). Quantifying uncertainties in the estimation of safety parameters by using bootstrapped artificial neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2008.07.010<\/a><\/p>\n

Zio, E.; Guedes Soares, C. (2008). Safety and reliability for managing risk<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2008.03.019<\/a><\/p>\n

Zio, E.; S., C. (2008). Security assessment in complex networks exposed to terrorist hazard: a simulation approach<\/strong>. Inderscience Publishers. dx.doi.org\/10.1504\/IJCIS.2008.016093<\/a><\/p>\n

Cadini, F.; Zio, E.; Pedroni, N. (2008). Validation of Infinite Impulse Response Multilayer Perceptron for Modelling Nuclear Dynamics<\/strong>. Hindawi Limited. dx.doi.org\/10.1155\/2008\/681890<\/a><\/p>\n

2007<\/h2>\n

Cadini, F.; Zio, E. (2007). A Monte Carlo method for the model-based estimation of nuclear reactor dynamics<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2007.03.017<\/a><\/p>\n

Zio, E.; Marella, M.; Podofillini, L. (2007). A Monte Carlo simulation approach to the availability assessment of multi-state systems with operational dependencies<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2006.04.024<\/a><\/p>\n

Rocco S., C.; Zio, E. (2007). A support vector machine integrated system for the classification of operation anomalies in nuclear components and systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2006.02.003<\/a><\/p>\n

Rocco, C.; Zio, E. (2007). Cellular Automata and Monte Carlo Simulation for Network Reliability and Availability Assessment<\/strong>. Springer Berlin Heidelberg. dx.doi.org\/10.1007\/978-3-540-37372-8_5<\/a><\/p>\n

Zio, E.; Rocco S., C.; Salazar A., D.; Mulker, G. (2007). Complex Networks Vulnerability: A Multiple-Objective Optimization Approach<\/strong>. IEEE. dx.doi.org\/10.1109\/RAMS.2007.328119<\/a><\/p>\n

Zio, E. (2007). From complexity science to reliability efficiency:
\na new way of looking at complex network systems and critical infrastructures<\/strong>. Inderscience Publishers. dx.doi.org\/10.1504\/IJCIS.2007.014122<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L. (2007). Genetic Algorithms and Monte Carlo Simulation for the Optimization of System Design and Operation<\/strong>. Springer Berlin Heidelberg. dx.doi.org\/10.1007\/978-3-540-37368-1_4<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Librizzi, M. (2007). Human Reliability Analysis by Fuzzy \u201cCREAM\u201d<\/strong>. Wiley. dx.doi.org\/10.1111\/j.1539-6924.2006.00865.x<\/a><\/p>\n

Zio, E.; Podofillini, L. (2007). Importance measures and genetic algorithms for designing a risk-informed optimally balanced system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2006.09.011<\/a><\/p>\n

Zio, E.; Marella, M.; Podofillini, L. (2007). Importance measures-based prioritization for improving the performance of multi-state systems: application to the railway industry<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2006.07.010<\/a><\/p>\n

Zio, E.; Popescu, I. (2007). Recognizing signal trends on-line by a fuzzy-logic-based methodology optimized via genetic algorithms<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.engappai.2006.11.013<\/a><\/p>\n

Cadini, F.; Zio, E.; Pedroni, N. (2007). Simulating the dynamics of the neutron flux in a nuclear reactor by locally recurrent neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2007.02.013<\/a><\/p>\n

2006<\/h2>\n

Zio, E.; Podofillini, L.; Zille, V. (2006). A combination of Monte Carlo simulation and cellular automata for computing the availability of complex network systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2004.12.002<\/a><\/p>\n

Zio, E. (2006). A study of the bootstrap method for estimating the accuracy of artificial neural networks in predicting nuclear transient processes<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNS.2006.871662<\/a><\/p>\n

Zio, E.; Podofillini, L. (2006). Accounting for components interactions in the differential importance measure<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2005.11.044<\/a><\/p>\n

Zio, E.; Baraldi, P.; Patelli, E. (2006). Assessment of the availability of an offshore installation by Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ijpvp.2006.02.010<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Martorell, S. (2006). Basics of genetic algorithms optimization for RAMS applications<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2005.11.046<\/a><\/p>\n

Kolowrocki, K.; Zio, E. (2006). ESREL 2005\u2014Post-conference publication<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ijpvp.2006.02.001<\/a><\/p>\n

Zio, E.; Gola, G. (2006). Neuro-fuzzy pattern classification for fault diagnosis in nuclear components<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2005.12.008<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Librizzi, M. (2006). Quantitative developments in the cognitive reliability and error analysis method (CREAM) for the assessment of human performance<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2006.05.003<\/a><\/p>\n

Podofillini, L.; Zio, E.; Vatn, J. (2006). Risk-informed optimisation of railway tracks inspection and maintenance procedures<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2004.11.009<\/a><\/p>\n

Zio, E.; Baraldi, P.; Pedroni, N. (2006). Selecting features for nuclear transients classification by means of genetic algorithms<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TNS.2006.873868<\/a><\/p>\n

2005<\/h2>\n

Zio, E.; Baraldi, P.; Roverso, D. (2005). An extended classifiability index for feature selection in nuclear transients<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2005.06.003<\/a><\/p>\n

Zio, E.; Baraldi, P. (2005). Evolutionary fuzzy clustering for the Classification of transients in nuclear components<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.pnucene.2005.03.010<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L. (2005). First-order differential sensitivity analysis of a nuclear safety system by Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2005.03.003<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Cadini, F. (2005). Genetic algorithm optimization of a model-free fuzzy control system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2004.12.002<\/a><\/p>\n

Zio, E.; Baraldi, P. (2005). Identification of nuclear transients via optimized fuzzy clustering<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2005.02.012<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L. (2005). Multiobjective spare part allocation by means of genetic algorithms and Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2004.06.002<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L.; Coit, D. (2005). Optimal Design of Reliable Network Systems in Presence of Uncertainty<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2005.847279<\/a><\/p>\n

Rocco S, C.; Zio, E. (2005). Solving advanced network reliability problems by means of cellular automata and Monte Carlo sampling<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2004.08.025<\/a><\/p>\n

2004<\/h2>\n

Marseguerra, M.; Zio, E.; Baraldi, P. (2004). A fuzzy modeling approach to the identification of transients in nuclear components<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2004.06.011<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L. (2004). A multiobjective genetic algorithm approach to the optimization of the technical specifications of a nuclear safety system<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(03)00175-3<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Marcucci, F. (2004). A soft-computing based classification procedure for the identification of transients in the steam generator of a pressurized water reactor<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2004.04.001<\/a><\/p>\n

Zio, E.; Podofillini, L.; Levitin, G. (2004). Estimation of the importance measures of multi-state elements by Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2004.01.009<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Avogadri, P. (2004). Model identification by neuro-fuzzy techniques: Predicting the water level in a steam generator of a PWR<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0149-1970(04)90012-1<\/a><\/p>\n

Marseguerra, M.; Zio, E. (2004). Monte Carlo estimation of the differential importance measure: application to the protection system of a nuclear reactor<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.ress.2003.12.011<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L. (2004). Optimal Reliability\/Availability of Uncertain Systems via Multi-Objective Genetic Algorithms<\/strong>. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org\/10.1109\/TR.2004.833318<\/a><\/p>\n

Zio, E.; Baraldi, P. (2004). Sensitivity analysis and fuzzy modelling for passive systems reliability assessment<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(03)00220-2<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Canetta, R. (2004). Using genetic algorithms for calibrating simplified models of nuclear reactor dynamics<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/j.anucene.2004.03.001<\/a><\/p>\n

2003<\/h2>\n

Marseguerra, M.; Zio, E.; Cipollone, M. (2003). Designing optimal degradation tests via multi-objective genetic algorithms<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(02)00198-9<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Oldrini, A.; Brega, E. (2003). Fuzzy identification of transients in nuclear power plants<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0029-5493(03)00177-8<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Baraldi, P.; Oldrini, A. (2003). Fuzzy logic for signal prediction in nuclear systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0149-1970(03)00048-9<\/a><\/p>\n

Levitin, G.; Podofillini, L.; Zio, E. (2003). Generalised importance measures for multi-state elements based on performance level restrictions<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(03)00171-6<\/a><\/p>\n

Zio, E.; Podofillini, L. (2003). Importance Measures of Multi-State Components in Multi-State Systems<\/strong>. World Scientific Pub Co Pte Lt. dx.doi.org\/10.1142\/S0218539303001159<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L. (2003). Model parameters estimation and sensitivity by genetic algorithms<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(03)00083-5<\/a><\/p>\n

Marseguerra, M.; Zio, E. (2003). Model-free fuzzy tracking control of a nuclear reactor<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(03)00013-6<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Patelli, E.; Giacobbo, F.; Risoluti, P.; Ventura, G.; Mingrone, G. (2003). Modeling the effects of the engineered barriers of a radioactive waste repository by Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(02)00072-5<\/a><\/p>\n

Zio, E.; Podofillini, L. (2003). Monte Carlo simulation analysis of the effects of different system performance levels on the importance of multi-state components<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(03)00124-8<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Patelli, E.; Giacobbo, F.; Ventura, G.; Mingrone, G. (2003). Monte Carlo simulation of contaminant release from a radioactive waste deposit<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0378-4754(02)00237-9<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Torri, G. (2003). Power density axial oscillations induced by Xenon dynamics: Parameter identification via genetic algorithms<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0149-1970(03)00049-0<\/a><\/p>\n

Zio, E.; Cantarella, M.; Cammi, A. (2003). The analytic hierarchy process as a systematic approach to the identification of important parameters for the reliability assessment of passive systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0029-5493(03)00211-5<\/a><\/p>\n

Marseguerra, M.; Masini, R.; Zio, E.; Cojazzi, G. (2003). Variance decomposition-based sensitivity analysis via neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(02)00234-X<\/a><\/p>\n

2002<\/h2>\n

Marseguerra, M.; Zio, E.; Cadini, F. (2002). Biased Monte Carlo unavailability analysis for systems with time-dependent failure rates<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(01)00139-9<\/a><\/p>\n

Marseguerra, M.; Zio, E.; Podofillini, L. (2002). Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(02)00043-1<\/a><\/p>\n

Labeau, P.; Zio, E. (2002). Procedures of Monte Carlo transport simulation for applications in system engineering<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(02)00055-8<\/a><\/p>\n

Zio, E. (2002). Selected papers from ESREL 2001<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(02)00054-6<\/a><\/p>\n

Barata, J.; Soares, C.; Marseguerra, M.; Zio, E. (2002). Simulation modelling of repairable multi-component deteriorating systems for \u2018on condition\u2019 maintenance optimisation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(02)00017-0<\/a><\/p>\n

Giacobbo, F.; Marseguerra, M.; Zio, E. (2002). Solving the inverse problem of parameter estimation by genetic algorithms: the case of a groundwater contaminant transport model<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(01)00084-6<\/a><\/p>\n

2001<\/h2>\n

Marseguerra, M.; Padovani, E.; Zio, E. (2001). Effects of model variability on the safeguard analysis of gamma-contaminated truck loads<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0378-4754(00)00258-5<\/a><\/p>\n

Marseguerra, M.; Patelli, E.; Zio, E. (2001). Groundwater contaminant transport in presence of colloids I. A stochastic nonlinear model and parameter identification<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(00)00082-7<\/a><\/p>\n

Marseguerra, M.; Patelli, E.; Zio, E. (2001). Groundwater contaminant transport in presence of colloids II: sensitivity and uncertainty analysis on literature case studies<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(01)00021-4<\/a><\/p>\n

Marseguerra, M.; Zio, E. (2001). Looking at Monte Carlo simulation for describing nonlinear sorption in groundwater contaminant transport<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0378-4754(00)00259-7<\/a><\/p>\n

Busacca, P.; Marseguerra, M.; Zio, E. (2001). Multiobjective optimization by genetic algorithms: application to safety systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(00)00109-5<\/a><\/p>\n

2000<\/h2>\n

Cantoni, M.; Marseguerra, M.; Zio, E. (2000). Genetic algorithms and Monte Carlo simulation for optimal plant design<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(99)00080-0<\/a><\/p>\n

Marseguerra, M.; Zio, E. (2000). Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(00)00007-7<\/a><\/p>\n

Marseguerra, M.; Zio, E. (2000). System unavailability calculations in biased Monte Carlo simulation: a possible pitfall<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0306-4549(00)00017-7<\/a><\/p>\n

1999<\/h2>\n

Masini, R.; Padovani, E.; Ricotti, M.; Zio, E. (1999). Dynamic simulation of a steam generator by neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0029-5493(98)00293-3<\/a><\/p>\n

Zio, E.; Apostolakis, G. (1999). Sensitivity and uncertainty analysis within a methodology for evaluating environmental restoration technologies<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0010-4655(98)00151-9<\/a><\/p>\n

1996<\/h2>\n

Marseguerra, M.; Zio, E. (1996). Monte Carlo approach to PSA for dynamic process systems<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0951-8320(95)00131-X<\/a><\/p>\n

Zio, E. (1996). On the use of the analytic hierarchy process in the aggregation of expert judgments<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0951-8320(96)00060-9<\/a><\/p>\n

Zio, E.; Apostolakis, G. (1996). Two methods for the structured assessment of model uncertainty by experts in performance assessments of radioactive waste repositories<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/S0951-8320(96)00078-6<\/a><\/p>\n

1995<\/h2>\n

Marseguerra, M.; Ricotti, M.; Zio, E. (1995). Approaching system evolution in dynamic PSA by neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0951-8320(95)00039-5<\/a><\/p>\n

Zio, E. (1995). Biasing the transition probabilities in direct Monte Carlo<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0951-8320(94)00035-M<\/a><\/p>\n

Marseguerra, M.; Zio, E. (1995). The cell-to-boundary method in Monte Carlo-based dynamic PSA<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0951-8320(95)00010-Y<\/a><\/p>\n

1994<\/h2>\n

Marseguerra, M.; Nutini, M.; Zio, E. (1994). Approximate physical modelling in dynamic PSA using artificial neural networks<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0951-8320(94)90075-2<\/a><\/p>\n

Marseguerra, M.; Zio, E. (1994). Identification of a line break by a neural network methodology<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0306-4549(94)90007-8<\/a><\/p>\n

1993<\/h2>\n

Marseguerra, M.; Zio, E. (1993). Nonlinear Monte Carlo reliability analysis with biasing towards top event<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0951-8320(93)90116-G<\/a><\/p>\n

1992<\/h2>\n

Marseguerra, M.; Minoggio, S.; Rossi, A.; Zio, E. (1992). Artificial neural networks applied to multiple signals in nuclear technology<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0149-1970(92)90008-Q<\/a><\/p>\n

Marseguerra, M.; Minoggio, S.; Rossi, A.; Zio, E. (1992). Neural networks prediction and fault diagnosis applied to stationary and non stationary ARMA modeled time series<\/strong>. Elsevier BV. dx.doi.org\/10.1016\/0149-1970(92)90015-U<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

2025 Stefano Marchetti, Francesco Di Maio, Enrico Zio, Emanuele Borgonovo, Ermal Plischke. 2025. A global sensitivity analysis framework for guiding the design improvement of new concepts of small modular reactors. Nuclear Engineering and Design. doi: https:\/\/doi.org\/10.1016\/j.nucengdes.2025.114398. Available online. Available preprint. Masoud Naseri and Enrico Zio, 2025. \u201cA Modelling and Computational […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"inline_featured_image":false,"footnotes":""},"class_list":["post-1772","page","type-page","status-publish","hentry"],"a3_pvc":{"activated":false,"total_views":1095,"today_views":0},"_links":{"self":[{"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/1772","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1772"}],"version-history":[{"count":28,"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/1772\/revisions"}],"predecessor-version":[{"id":7229,"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=\/wp\/v2\/pages\/1772\/revisions\/7229"}],"wp:attachment":[{"href":"https:\/\/www.lasar.polimi.it\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1772"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}