Papers

2025

Nicolás Javier Cárdenas Pantoja, Adam Abdin, Piero Baraldi, Luca Pinciroli, Alice Forello, Laura Dovera, Enrico Zio. 2025. Optimal Drilling Scheduling in Field Development Planning by Deep Reinforcement Learning. Paper presented at the SPE Reservoir Simulation Conference, Galveston, Texas, USA. Available online. Availabe preprint.

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. Engineering Applications of Artificial Intelligence. Available online. Available preprint.

2024

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

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

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

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

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

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

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

Valcamonico, D.; Baraldi, P.; Zio, E.; 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. Elsevier BV. dx.doi.org/10.1016/j.ress.2023.109638

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

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

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

Zio, E. (2024). Reliability Optimization. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TR.2024.3356822

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

2023

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Hao, Z.; Di Maio, F.; Zio, E. (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. Elsevier BV. dx.doi.org/10.1016/j.ress.2023.109231

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

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

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

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

Xu, M.; Baraldi, P.; Yang, Z.; Zio, E. (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. Elsevier BV. dx.doi.org/10.1016/j.eswa.2022.118962

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

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

Fan, L.; Su, H.; Zio, E.; 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. Elsevier BV. dx.doi.org/10.1016/j.jgsce.2023.204883

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

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

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

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

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

2022

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

2021

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

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

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

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

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

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

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

Ansari, O.; Chung, C.; Zio, E. (2021). A Novel Framework for the Operational Reliability Evaluation of Integrated Electric Power–Gas Networks. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TSG.2021.3075918

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

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

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

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

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

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

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

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

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

Wang, H.; Fang, Y.; Zio, E. (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. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TITS.2019.2955359

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

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

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

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

2020

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

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

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

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

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

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

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

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

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

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

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

2019

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

Wang, T.; Pedroni, N.; Zio, E.; Mousseau, V. (2019). Identification of Protective Actions to Reduce the Vulnerability of Safety‐Critical Systems to Malevolent Intentional Acts: An Optimization‐Based Decision‐Making Approach. Wiley. dx.doi.org/10.1111/risa.13420

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

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

Fang, Y.; Sansavini, G.; Zio, E. (2019). An Optimization‐Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards. Wiley. dx.doi.org/10.1111/risa.13287

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

2018

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

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

2015

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

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. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TR.2015.2427156

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

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. Elsevier BV. dx.doi.org/10.1016/j.anucene.2015.02.007

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

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

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2015.01.016

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

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

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

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

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

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

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

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

Baraldi, P.; Zio, E. (2015). Guest Editorial. SAGE Publications. dx.doi.org/10.1177/1748006X15589882

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

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

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

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

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

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.ijepes.2014.08.004

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

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

Fang, Y.; Pedroni, N.; Zio, E. (2015). Optimization of Cascade‐Resilient Electrical Infrastructures and its Validation by Power Flow Modeling. Wiley. dx.doi.org/10.1111/risa.12396

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

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

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

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

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

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

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

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

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. IOS Press. dx.doi.org/10.3233/IFS-141459

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

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

2014

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

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

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. SAGE Publications. dx.doi.org/10.1177/1748006X14533105

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

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

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

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

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

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

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

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

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

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

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

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

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. American Society of Civil Engineers. dx.doi.org/10.1061/9780784413609.073

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

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

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.eswa.2014.03.056

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. Springer Science and Business Media LLC. dx.doi.org/10.1080/18756891.2013.874670

Di Maio, F.; 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. Elsevier BV. dx.doi.org/10.1016/j.anucene.2014.06.043

Rocco, C.; Zio, E. (2014). Global Sensitivity Analysis of Power Systems Components—Markov Reliability Models. American Society of Civil Engineers. dx.doi.org/10.1061/9780784413609.152

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

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

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

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

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

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

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

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

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

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

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. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TR.2014.2299031

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

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

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

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. Elsevier BV. dx.doi.org/10.5516/NET.03.2014.701

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

Zio, E. (2014). Vulnerability and Risk Analysis of Critical Infrastructures. American Society of Civil Engineers. dx.doi.org/10.1061/9780784413609.003

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

2016

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

2017

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. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/JSYST.2014.2352152

2013

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

Aven, T.; Zio, E. (2013). Foundational Issues in Risk Assessment and Risk Management. Wiley. dx.doi.org/10.1111/risa.12132

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. SAGE Publications. dx.doi.org/10.1177/1748006X13494775

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

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2013.01.005

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.ijmst.2013.01.017

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

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

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

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

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

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. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TR.2013.2284737

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. Elsevier BV. dx.doi.org/10.1016/j.compstruc.2013.02.003

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. Elsevier BV. dx.doi.org/10.1016/j.psep.2012.01.004

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

Baraldi, P.; Compare, M.; Zio, E. (2013). Maintenance policy performance assessment in presence of imprecision based on Dempster–Shafer Theory of Evidence. Elsevier BV. dx.doi.org/10.1016/j.ins.2012.11.003

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

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2012.10.002

Ak, R.; Li, Y.; Vitelli, V.; Zio, E.; López 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. Elsevier BV. dx.doi.org/10.1016/j.eswa.2012.08.018

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2012.11.002

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

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

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

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

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

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2013.05.012

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

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

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

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

2012

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. Wiley. dx.doi.org/10.1002/qre.1388

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. Springer Science and Business Media LLC. dx.doi.org/10.1007/s00477-012-0616-7

Flage, R.; Baraldi, P.; Zio, E.; Aven, T. (2012). Probability and Possibility‐Based Representations of Uncertainty in Fault Tree Analysis. Wiley. dx.doi.org/10.1111/j.1539-6924.2012.01873.x

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

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. Springer Science and Business Media LLC. dx.doi.org/10.1007/s00477-012-0595-8

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

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

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

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

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. SAGE Publications. dx.doi.org/10.1177/1748006X12467591

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. Elsevier BV. dx.doi.org/10.1016/j.anucene.2011.09.002

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

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2012.02.005

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

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

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

Ale, B.; Papazoglou, I.; Zio, E. (2012). Editorial Special Issue ESREL 2010. Elsevier BV. dx.doi.org/10.1016/j.ress.2012.06.015

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

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. IEEE. dx.doi.org/10.1109/ICPHM.2012.6299506

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

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

Rocco, C.; Zio, E. (2012). Global Sensitivity Analysis of Multi-State Markov Reliability Models of Power Equipment Approximated by Polynomial Chaos Expansion / Analiza Globalnej Wrażliwości Wielostanowych Modeli Niezawodności Markowa Dla Urządzeń Energetycznych Aproksymowanych Za Pomocą Rozwinięcia W Chaos Wielomianowy. Index Copernicus. dx.doi.org/10.2478/jok-2013-0038

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

Zio, E.; Pedroni, N. (2012). Monte Carlo simulation-based sensitivity analysis of the model of a thermal–hydraulic passive system. Elsevier BV. dx.doi.org/10.1016/j.ress.2011.08.006

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

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. Elsevier BV. dx.doi.org/10.1016/j.anucene.2012.05.005

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

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

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

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

Baraldi, P.; Di Maio, F.; Zio, E. (2012). Unsupervised clustering for fault diagnosis. IEEE. dx.doi.org/10.1109/PHM.2012.6228844

2011

Lins, I.; Moura, M.; Zio, E.; Droguett, E. (2011). A particle swarm‐optimized support vector machine for reliability prediction. Wiley. dx.doi.org/10.1002/qre.1221

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. SAGE Publications. dx.doi.org/10.1177/1748006X11408675

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

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

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

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. SAGE Publications. dx.doi.org/10.1177/1748006XJRR320

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

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. Elsevier BV. dx.doi.org/10.1016/j.renene.2010.10.019

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

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

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

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. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TR.2011.2134230

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. IOS Press. dx.doi.org/10.3233/ICA-2011-0375

Zio, E.; Pedroni, N. (2011). How to effectively compute the reliability of a thermal–hydraulic nuclear passive system. Elsevier BV. dx.doi.org/10.1016/j.nucengdes.2010.10.029

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

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

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. SAGE Publications. dx.doi.org/10.1243/1748006XJRR336

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). Elsevier BV. dx.doi.org/10.1016/j.ress.2011.06.010

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

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.anucene.2010.11.007

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

2010

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. Wiley. dx.doi.org/10.1111/j.1539-6924.2010.01416.x

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

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2009.08.001

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

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

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

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–hydraulic passive system. Elsevier BV. dx.doi.org/10.1016/j.ress.2009.11.009

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. IEEE. dx.doi.org/10.1109/PHM.2010.5413504

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

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. Institute of Electrical and Electronics Engineers (IEEE). dx.doi.org/10.1109/TR.2010.2052190

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

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. Elsevier BV. dx.doi.org/10.1016/j.ress.2010.04.002

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

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. Elsevier BV. dx.doi.org/10.1016/j.anucene.2010.02.020

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

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

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

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

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

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

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. Wiley. dx.doi.org/10.1111/j.1539-6924.2010.01425.x

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. Elsevier BV. dx.doi.org/10.1016/j.sbspro.2010.05.221

2009

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

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

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

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

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

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

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

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

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

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. IEEE. dx.doi.org/10.1109/NSSMIC.2009.5402011

Zio, E.; Pedroni, N. (2009). Estimation of the functional failure probability of a thermal–hydraulic passive system by Subset Simulation. Elsevier BV. dx.doi.org/10.1016/j.nucengdes.2008.11.005

Zio, E.; Pedroni, N. (2009). Functional failure analysis of a thermal–hydraulic passive system by means of Line Sampling. Elsevier BV. dx.doi.org/10.1016/j.ress.2009.05.010

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. Elsevier BV. dx.doi.org/10.1016/j.aap.2008.08.013

Zio, E.; Vaurio, J. (2009). Maintenance modelling and applications. Elsevier BV. dx.doi.org/10.1016/j.ress.2008.05.001

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

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. IEEE. dx.doi.org/10.1109/ICRMS.2009.5270212

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

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. ASMEDC. dx.doi.org/10.1115/ICEM2009-16168

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

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

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

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

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

Zio, E. (2009). Reliability engineering: Old problems and new challenges. Elsevier BV. dx.doi.org/10.1016/j.ress.2008.06.002

Eusgeld, I.; Kröger, W.; Sansavini, G.; Schläpfer, M.; Zio, E. (2009). The role of network theory and object-oriented modeling within a framework for the vulnerability analysis of critical infrastructures. Elsevier BV. dx.doi.org/10.1016/j.ress.2008.10.011

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

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

2008

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.nucengdes.2008.01.018

Zio, E.; Sansavini, G. (2008). A systematic procedure for analysing network systems. Inderscience Publishers. dx.doi.org/10.1504/IJCIS.2008.016099

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

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

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

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

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

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

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

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

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. IEEE. dx.doi.org/10.1109/PHM.2008.4711455

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

Zio, E.; Guedes Soares, C. (2008). Safety and reliability for managing risk. Elsevier BV. dx.doi.org/10.1016/j.ress.2008.03.019

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

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

2007

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

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

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

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

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

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

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

Marseguerra, M.; Zio, E.; Librizzi, M. (2007). Human Reliability Analysis by Fuzzy “CREAM”. Wiley. dx.doi.org/10.1111/j.1539-6924.2006.00865.x

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

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

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

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

2006

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

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

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

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

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

Kolowrocki, K.; Zio, E. (2006). ESREL 2005—Post-conference publication. Elsevier BV. dx.doi.org/10.1016/j.ijpvp.2006.02.001

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

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

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

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

2005

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

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

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

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

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

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

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

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

2004

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

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

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. Elsevier BV. dx.doi.org/10.1016/j.anucene.2004.04.001

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

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

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

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

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

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

2003

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

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

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

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

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/S0306-4549(02)00072-5

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

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

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

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. Elsevier BV. dx.doi.org/10.1016/S0029-5493(03)00211-5

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

2002

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

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

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

Zio, E. (2002). Selected papers from ESREL 2001. Elsevier BV. dx.doi.org/10.1016/S0951-8320(02)00054-6

Barata, J.; Soares, C.; Marseguerra, M.; Zio, E. (2002). Simulation modelling of repairable multi-component deteriorating systems for ‘on condition’ maintenance optimisation. Elsevier BV. dx.doi.org/10.1016/S0951-8320(02)00017-0

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. Elsevier BV. dx.doi.org/10.1016/S0306-4549(01)00084-6

2001

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

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

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

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

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

2000

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

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

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

1999

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

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

1996

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

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

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

1995

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

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

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

1994

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

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

1993

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

1992

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

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. Elsevier BV. dx.doi.org/10.1016/0149-1970(92)90015-U