Papers

Recent publications on international journals

2020

  1. Pinciroli L, Baraldi P, Shokry A, et al. A semi-supervised method for the characterization of degradation of nuclear power plants steam generators[J]. Progress in Nuclear Energy, 2021, 131: 103580.  Download
  2. Antonello F, Baraldi P, Shokry A, et al. Association Rules Extraction for the Identification of Functional Dependencies in Complex Technical Infrastructures[J]. Reliability Engineering & System Safety, 2020: 107305.  Download

2019

  1. F. Antonello, F. D. Maio, and E. Zio, “A condition-based probabilistic safety assessment framework for the estimation of the frequency of core damage due to an induced steam generator tube rupture,” in PSA 2019 – International Topical Meeting on Probabilistic Safety Assessment and Analysis, 2019, pp. 177–184.
  2. H.-P. Nguyen, W. Fauriat, E. Zio, and J. Liu, “A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 255–260. Download
  3. F. D. Maio, A. Rai, and E. Zio, “A dynamic safety margins estimation with a limited number of PWR large break LOCA simulations,” in PSA 2019 – International Topical Meeting on Probabilistic Safety Assessment and Analysis, 2019, pp. 772–777.
  4. J. Xing, Z. Zeng, and E. Zio, “A framework for dynamic risk assessment with condition monitoring data and inspection data,” Reliab. Eng. Syst. Saf., vol. 191, 2019. Download
  5. H. Su, E. Zio, J. Zhang, M. Xu, X. Li, and Z. Zhang, “A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model,” Energy, vol. 178, pp. 585–597, 2019. Download
  6. H. Su et al., “A method for the multi-objective optimization of the operation of natural gas pipeline networks considering supply reliability and operation efficiency,” Comput. Chem. Eng., vol. 131, 2019. Download
  7. I. F. Abdin, Y.-P. Fang, and E. Zio, “A modeling and optimization framework for power systems design with operational flexibility and resilience against extreme heat waves and drought events,” Renew. Sustain. Energy Rev., vol. 112, pp. 706–719, 2019.
  8. F. Han and E. Zio, “A multi-perspective framework of analysis of critical infrastructures with respect to supply service, controllability and topology,” Int. J. Crit. Infrastruct. Prot., vol. 24, pp. 1–13, 2019. Download
  9. M. R. Termite, P. Baraldi, S. Al-Dahidi, L. Bellani, M. Compare, and E. Zio, “A never-ending learning method for fault diagnostics in energy systems operating in evolving environments,” Energies, vol. 12, no. 24, 2019.
  10. E. Cervi, A. Cammi, and E. Zio, “A new approach for nuclear reactor analysis based on complex network theory,” Prog. Nucl. Energy, vol. 112, pp. 96–106, 2019. Download
  11. W. Wang, F. Di Maio, and E. Zio, A non-parametric cumulative sum approach for online diagnostics of cyber attacks to nuclear power plants. 2019.
  12. M. Compare et al., “A reinforcement learning approach to optimal part flow management for gas turbine maintenance,” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., 2019. Download
  13. R. Rocchetta, L. Bellani, M. Compare, E. Zio, and E. Patelli, “A reinforcement learning framework for optimal operation and maintenance of power grids,” Appl. Energy, vol. 241, pp. 291–301, 2019. Download
  14. Y. Wang, E. Zio, X. Wei, D. Zhang, and B. Wu, “A resilience perspective on water transport systems: The case of Eastern Star,” Int. J. Disaster Risk Reduct., vol. 33, pp. 343–354, 2019.
  15. M. Fan, Z. Zeng, E. Zio, R. Kang, and Y. Chen, “A Sequential Bayesian Approach for Remaining Useful Life Prediction of Dependent Competing Failure Processes,” IEEE Trans. Reliab., vol. 68, no. 1, pp. 317–329, 2019. Download
  16. H. Su, E. Zio, J. Zhang, L. Chi, X. Li, and Z. Zhang, “A systematic data-driven Demand Side Management method for smart natural gas supply systems,” Energy Convers. Manag., vol. 185, pp. 368–383, 2019. Download
  17. W. Wang, F. Di Maio, and E. Zio, “Adversarial Risk Analysis to Allocate Optimal Defense Resources for Protecting Cyber–Physical Systems from Cyber Attacks,” Risk Anal., vol. 39, no. 12, pp. 2766–2785, 2019.
  18. T. Li, S. Wang, E. Zio, J. Shi, and Z. Yang, “Aliasing signal separation for superimposition of inductive debris detection using CNN-Based DUET,” in Proceedings of the 14th IEEE Conference on Industrial Electronics and Applications, ICIEA 2019, 2019, pp. 211–215. Download
  19. M. A. Mellal and E. Zio, “An adaptive cuckoo optimization algorithm for system design optimization under failure dependencies,” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., vol. 233, no. 6, pp. 1099–1105, 2019. Download
  20. M. A. Mellal and E. Zio, “An adaptive particle swarm optimization method for multi-objective system reliability optimization,” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., vol. 233, no. 6, pp. 990–1001, 2019. Download
  21. Y.-P. Fang and E. Zio, “An adaptive robust framework for the optimization of the resilience of interdependent infrastructures under natural hazards,” Eur. J. Oper. Res., vol. 276, no. 3, pp. 1119–1136, 2019. Download
  22. D. Zhang, P. Baraldi, C. Cadet, N. Yousfi-Steiner, C. Bérenguer, and E. Zio, “An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells,” Mech. Syst. Signal Process., vol. 124, pp. 479–501, 2019. Download
  23. F. Cannarile, P. Baraldi, and E. Zio, “An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories,” Fuzzy Sets Syst., vol. 367, pp. 36–50, 2019. Download
  24. W. Fauriat and E. Zio, “An Importance Measure to Assess the Value of a Component Inspection Policy,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 368–375. Download
  25. H. Wang, Y.-P. Fang, and E. Zio, “An improved cell transmission model of traffic considering electric vehicles and charging stations,” in 2019 IEEE Milan PowerTech, PowerTech 2019, 2019. Download
  26. Y. Zou et al., “An integrated framework for analysing operational events in China nuclear power plants,” Ann. Nucl. Energy, vol. 130, pp. 192–199, 2019.
  27. R. Razavi-Far, S. Chakrabarti, M. Saif, and E. Zio, “An integrated imputation-prediction scheme for prognostics of battery data with missing observations,” Expert Syst. Appl., vol. 115, pp. 709–723, 2019.
  28. Y.-P. Fang, G. Sansavini, and E. Zio, “An Optimization-Based Framework for the Identification of Vulnerabilities in Electric Power Grids Exposed to Natural Hazards,” Risk Anal., vol. 39, no. 9, pp. 1949–1969, 2019. Download
  29. T. Wang, W. Wang, E. Zio, T. Tang, and D. Zhou, “Analysis of configuration data errors in Communication-based Train Control systems,” Simul. Model. Pract. Theory, vol. 96, 2019.
  30. D. Tang, Y. Fang, E. Zio, and J. E. Ramirez-Marquez, “Analysis of the Vulnerability of Smart Grids to Social Network-Based Attacks,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 130–134.
  31. E. ZIO, M. FAN, Z. ZENG, and R. KANG, “Application of reliability technologies in civil aviation: Lessons learnt and perspectives,” Chinese J. Aeronaut., vol. 32, no. 1, pp. 143–158, 2019. Download
  32. Z. Yang, P. Baraldi, and E. Zio, “Automatic Extraction of a Health Indicator from Vibrational Data by Sparse Autoencoders,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 328–332.
  33. M. A. Mellal and E. Zio, “Availability Optimization of Parallel-Series System by Evolutionary Computation,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 198–202. Download
  34. E. Tosoni, A. Salo, J. Govaerts, and E. Zio, “Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories,” Reliab. Eng. Syst. Saf., vol. 188, pp. 561–573, 2019.
  35. S. M. Hoseyni, F. Di Maio, and E. Zio, “Condition-based probabilistic safety assessment for maintenance decision making regarding a nuclear power plant steam generator undergoing multiple degradation mechanisms,” Reliab. Eng. Syst. Saf., vol. 191, 2019. Download
  36. S. Kim, G. Heo, E. Zio, J. Shin, and J.-G. Song, “Cyber attack taxonomy for digital environment in nuclear power plants,” Nucl. Eng. Technol., 2019.
  37. C. Bian, S. Yang, T. Huang, Q. Xu, J. Liu, and E. Zio, “Degradation state mining and identification for railway point machines,” Reliab. Eng. Syst. Saf., vol. 188, pp. 432–443, 2019. Download
  38. J. Xing, Z. Zeng, and E. Zio, “Dynamic business continuity assessment using condition monitoring data,” Int. J. Disaster Risk Reduct., vol. 41, 2019. Download
  39. H.-F. Gao, E. Zio, J.-J. Guo, G.-C. Bai, and C.-W. Fei, “Dynamic probabilistic-based LCF damage assessment of turbine blades regarding time-varying multi-physical field loads,” Eng. Fail. Anal., 2019.
  40. F. Cannarile, M. Compare, P. Baraldi, G. Diodati, V. Quaranta, and E. Zio, “Elastic net multinomial logistic regression for fault diagnostics of on-board aeronautical systems,” Aerosp. Sci. Technol., vol. 94, 2019.
  41. H.-P. Nguyen, J. Liu, and E. Zio, “Ensemble of Models for Fatigue Crack Growth Prognostics,” IEEE Access, vol. 7, pp. 49527–49537, 2019.
  42. T. Y. Li, S. P. Wang, E. Zio, J. Shi, and W. Hong, “Experimental study on inductive method for online material loss detection with high debris concentration,” in IOP Conference Series: Materials Science and Engineering, 2019, vol. 629, no. 1. Download
  43. Y.-H. Lin, Z.-Q. Ding, and E. Zio, “Fatigue crack growth assessment method subject to model uncertainty,” Eng. Fract. Mech., vol. 219, 2019. Download
  44. H.-F. Gao, A. Wang, E. Zio, and W. Ma, “Fatigue strength reliability assessment of turbo-fan blades by kriging-based distributed collaborative response surface method | Ocena niezawodności wytrzymałości zmęczeniowej łopatek turbowentylatora rozproszoną metodą powierzchni odpowiedzi z wykorzysta,” Eksploat. i Niezawodn., vol. 21, no. 3, pp. 530–538, 2019.
  45. M. Giuliani et al., “Flaring events prediction and prevention through advanced big data analytics and machine learning algorithms,” in Offshore Mediterranean Conference and Exhibition 2019, OMC 2019, 2019.
  46. Y. Fang and E. Zio, Game-theoretic decision making for the resilience of interdependent infrastructures exposed to disruptions. 2019. Download
  47. X. Liu, E. Ferrario, and E. Zio, “Identifying resilient-important elements in interdependent critical infrastructures by sensitivity analysis,” Reliab. Eng. Syst. Saf., vol. 189, pp. 423–434, 2019. Download
  48. A. Noroozian, R. B. Kazemzadeh, E. Zio, and S. T. A. Niaki, “Importance analysis considering time-varying parameters and different perturbation occurrence times,” Qual. Reliab. Eng. Int., vol. 35, no. 8, pp. 2558–2578, 2019. Download
  49. J. Liu and E. Zio, “Integration of feature vector selection and support vector machine for classification of imbalanced data,” Appl. Soft Comput. J., vol. 75, pp. 702–711, 2019.
  50. Z. Zeng and E. Zio, “Joint Optimization of Business Continuity by Designing Safety Barriers for Accident Prevention, Mitigation and Emergency Responses,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 316–320. Download
  51. T. Li, S. Wang, J. Shi, and E. Zio, “Mechanical Wear Life Prediction Based on Abrasive Debris Generation,” in Proceedings – 2019 Prognostics and System Health Management Conference, PHM-Paris 2019, 2019, pp. 79–84. Download
  52. T. Li, J. Shi, S. Wang, E. Zio, and Z. Ma, “Mesoscale Numerical Modeling for Predicting Wear Debris Generation,” Tribol. Lett., vol. 67, no. 2, 2019.
  53. M.-X. Sun, Y.-F. Li, and E. Zio, “On the optimal redundancy allocation for multi-state series–parallel systems under epistemic uncertainty,” Reliab. Eng. Syst. Saf., vol. 192, 2019. Download
  54. I. Ahmed, G. Heo, and E. Zio, “On-line process monitoring during transient operations using weighted distance Auto Associative Bilateral Kernel Regression,” ISA Trans., vol. 92, pp. 191–212, 2019.
  55. M. Compare, L. Bellani, and E. Zio, “Optimal allocation of prognostics and health management capabilities to improve the reliability of a power transmission network,” Reliab. Eng. Syst. Saf., vol. 184, pp. 164–180, 2019. Download
  56. Abdin, I. F., and E. Zio. “Optimal Planning of Electric Power systems.”  Optimization in Large Scale Problems. Springer, Cham, 2019. 53-65.
  57. T. Sacco, M. Compare, E. Zio, and G. Sansavini, “Portfolio decision analysis for risk-based maintenance of gas networks,” J. Loss Prev. Process Ind., vol. 60, pp. 269–281, 2019. Download
  58. A. Mancuso, M. Compare, A. Salo, and E. Zio, “Portfolio optimization of safety measures for the prevention of time-dependent accident scenarios,” Reliab. Eng. Syst. Saf., vol. 190, 2019. Download
  59. I. F. Abdin, Y. Fang, and E. Zio, “Power System Design for Resilience and Flexibility Against Extreme Weather Events,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 321–327. Download
  60. A. Mancuso, M. Compare, A. Salo, and E. Zio, “Probabilistic model data of time-dependent accident scenarios for a mixing tank mechanical system,” Data Br., vol. 25, 2019.
  61. J. Liu and E. Zio, “Prognostics of a multistack PEMFC system with multiagent modeling,” Energy Sci. Eng., vol. 7, no. 1, pp. 76–87, 2019.
  62. D. W. Coit and E. Zio, “RAMS Optimization,” Reliab. Eng. Syst. Saf., vol. 192, 2019.
  63. K. Sabri-Laghaie, M. Eshkevari, M. Fathi, and E. Zio, “Redundancy allocation problem in a bridge system with dependent subsystems,” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., vol. 233, no. 4, pp. 658–669, 2019. Download
  64. B. Yang, R. Liu, and E. Zio, “Remaining useful life prediction based on a double-convolutional neural network architecture,” IEEE Trans. Ind. Electron., vol. 66, no. 12, pp. 9521–9530, 2019.
  65. D. Tang, Y.-P. Fang, E. Zio, and J. E. Ramirez-Marquez, “Resilience of Smart Power Grids to False Pricing Attacks in the Social Network,” IEEE Access, vol. 7, pp. 80491–80505, 2019.
  66. Y. Fang, C. Fang, E. Zio, and M. Xie, “Resilient Critical Infrastructure Planning Under Disruptions Considering Recovery Scheduling,” IEEE Trans. Eng. Manag., 2019. Download
  67. H. Wang, Y. Fang, and E. Zio, “Risk Assessment of Electrical Power Systems Considering Traffic Congestion,” in Proceedings – 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2019, pp. 386–389.
  68. I. Ahmed, E. Zio, and G. Heo, “Risk-informed approach to the safety improvement of the reactor protection system of the AGN-201K research reactor,” Nucl. Eng. Technol., 2019.
  69. D. W. Coit and E. Zio, “The evolution of system reliability optimization,” Reliab. Eng. Syst. Saf., vol. 192, 2019. Download
  70. W. Fauriat and E. Zio, “Value of Information from Condition Inspection for a Gamma Degradation Process,” in Proceedings – 2019 Prognostics and System Health Management Conference, PHM-Paris 2019, 2019, pp. 198–203. Download
  71. C. Fang, P. Dong, Y.-P. Fang, and E. Zio, “Vulnerability analysis of critical infrastructure under disruptions: An application to China Railway High-speed,” Proc. Inst. Mech. Eng. Part O J. Risk Reliab., 2019.

2018

  1. Wang, I. Zentner, and E. Zio, “A Bayesian framework for estimating fragility curves based on seismic damage data and numerical simulations by adaptive neural networks.” Nuclear Engineering and Design, 2018. 338: pp. 232-246.
  2. Pan, F. Di Maio, and E. Zio. A benchmark of dynamic reliability methods for probabilistic safety assessment. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  3. Cannarile, M. Compare, F. Di Maio, and E. Zio, “A clustering approach for mining reliability big data for asset management.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2018. 232(2): pp. 140-150.
  4. H. Lin, Y. F. Li, and E. Zio, “A comparison between Monte Carlo simulation and finite-volume scheme for reliability assessment of multi-state physics systems.” Reliability Engineering and System Safety, 2018. 174: pp. 1-11.Download
  5. Nazempour, M. A. S. Monfared, and E. Zio, “A complex network theory approach for optimizing contamination warning sensor location in water distribution networks.” International Journal of Disaster Risk Reduction, 2018. 30: pp. 225-234.Download
  6. P. Pandian, D. Das, C. Li, E. Zio, and M. Pecht, “A critique of reliability prediction techniques for avionics applications.” Chinese Journal of Aeronautics, 2018. 31(1): pp. 10-20.
  7. Zou, Z. Xiao, L. Zhang, E. Zio, J. Liu, and H. Jia, “A data mining framework within the Chinese NPPs operating experience feedback system for identifying intrinsic correlations among human factors.” Annals of Nuclear Energy, 2018. 116: pp. 163-170.
  8. Al-Dahidi, P. Baraldi, E. Zio, and E. Legnani. A dynamic weighting ensemble approach for wind energy production prediction. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  9. Su, E. Zio, J. Zhang, and X. Li. A flow-based method for identifying critical pipelines in complex natural gas supply systems. in Safety and Reliability – Safe Societies in a Changing World – Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. 2018.
  10. H. Lin, Y. F. Li, and E. Zio, “A Framework for Modeling and Optimizing Maintenance in Systems Considering Epistemic Uncertainty and Degradation Dependence Based on PDMPs.” IEEE Transactions on Industrial Informatics, 2018. 14(1): pp. 210-220.
  11. Bani-Mustafa, Z. Zeng, E. Zio, and D. Vasseur. A framework for multi-hazards risk aggregation considering risk model maturity levels. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  12. Al-Dahidi, F. Di Maio, P. Baraldi, E. Zio, and R. Seraoui, “A framework for reconciliating data clusters from a fleet of nuclear power plants turbines for fault diagnosis.” Applied Soft Computing Journal, 2018. 69: pp. 213-231.Download
  13. Cannarile, P. Baraldi, M. Compare, D. Borghi, L. Capelli, and E. Zio. A heterogeneous ensemble approach for the prediction of the remaining useful life of packaging industry machinery. in Safety and Reliability – Safe Societies in a Changing World – Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. 2018.Download
  14. Wang, F. Di Maio, P. Baraldi, and E. Zio. A hybrid Monte Carlo and possibilistic approach to estimate non-suppression probability in fire probabilistic safety analysis. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  15. Compare, P. Marelli, P. Baraldi, and E. Zio, “A Markov decision process framework for optimal operation of monitored multi-state systems.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2018. 232(6): pp. 677-689.
  16. Wang, A. Cammi, F. Di Maio, S. Lorenzi, and E. Zio, “A Monte Carlo-based exploration framework for identifying components vulnerable to cyber threats in nuclear power plants.” Reliability Engineering and System Safety, 2018. 175: pp. 24-37.Download
  17. Du, E. Zio, and R. Kang, “A New Analytical Approach for Interval Availability Analysis of Markov Repairable Systems.” IEEE Transactions on Reliability, 2018. 67(1): pp. 118-128.Download
  18. Tao, E. Zio, and W. Zhao, “A novel support vector regression method for online reliability prediction under multi-state varying operating conditions.” Reliability Engineering and System Safety, 2018. 177: pp. 35-49.Download
  19. Y. Li, Y. F. Li, H. Z. Huang, J. Guo, and E. Zio. A PMS-MMDD model for reliability assessment of multi-state phased-mission system. in Safety and Reliability – Safe Societies in a Changing World – Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. 2018.
  20. Rocchetta, E. Zio, and E. Patelli, “A power-flow emulator approach for resilience assessment of repairable power grids subject to weather-induced failures and data deficiency.” Applied Energy, 2018. 210: pp. 339-350.
  21. Fu, D. Zhang, J. Montewka, E. Zio, and X. Yan, “A quantitative approach for risk assessment of a ship stuck in ice in Arctic waters.” Safety Science, 2018. 107: pp. 145-154.
  22. Di Maio, A. Bandini, M. Damato, and E. Zio, “A Regional Sensitivity Analysis-based Expert System for safety margins control.” Nuclear Engineering and Design, 2018. 330: pp. 400-408.Download
  23. Liu and E. Zio, “A scalable fuzzy support vector machine for fault detection in transportation systems.” Expert Systems with Applications, 2018. 102: pp. 36-43.Download
  24. Serio, F. Antonello, P. Baraldi, A. Castellano, U. Gentile, and E. Zio. A smart framework for the availability and reliability assessment and management of accelerators technical facilities. in Journal of Physics: Conference Series. 2018.
  25. Fan, Z. Zeng, E. Zio, R. Kang, and Y. Chen, “A stochastic hybrid systems model of common-cause failures of degrading components.” Reliability Engineering and System Safety, 2018. 172: pp. 159-170.
  26. Su, E. Zio, J. Zhang, and X. Li, “A systematic framework of vulnerability analysis of a natural gas pipeline network.” Reliability Engineering and System Safety, 2018. 175: pp. 79-91.Download
  27. Su, E. Zio, J. Zhang, Z. Yang, X. Li, and Z. Zhang, “A systematic hybrid method for real-time prediction of system conditions in natural gas pipeline networks.” Journal of Natural Gas Science and Engineering, 2018. 57: pp. 31-44.Download
  28. Chen, E. Zio, J. Li, Z. Zeng, and C. Bu, “Accelerated life test for reliability evaluation of pneumatic cylinders.” IEEE Access, 2018. 6: pp. 75062-75075.
  29. Wang, I. Zentner, N. Pedroni, and E. Zio. Adaptive artificial neural networks for seismic fragility analysis. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  30. Turati, A. Cammi, S. Lorenzi, N. Pedroni, and E. Zio, “Adaptive simulation for failure identification in the Advanced Lead Fast Reactor European Demonstrator.” Progress in Nuclear Energy, 2018. 103: pp. 176-190.
  31. Ak, Y. F. Li, V. Vitelli, and E. Zio, “Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load.” International Journal of Electrical Power and Energy Systems, 2018. 95: pp. 213-226.
  32. Li, S. Wang, E. Zio, J. Shi, and W. Hong, “Aliasing signal separation of superimposed abrasive debris based on degenerate unmixing estimation technique.” Sensors (Switzerland), 2018. 18(3).Download
  33. Rigamonti, P. Baraldi, A. Alessi, E. Zio, D. Astigarraga, and A. Galarza, “An Ensemble of Component-Based and Population-Based Self-Organizing Maps for the Identification of the Degradation State of Insulated-Gate Bipolar Transistors.” IEEE Transactions on Reliability, 2018. 67(3): pp. 1304-1313.
  34. Cannarile, P. Baraldi, and E. Zio, “An evidential similarity-based regression method for the prediction of equipment remaining useful life in presence of incomplete degradation trajectories.” Fuzzy Sets and Systems, 2018.
  35. Zhang, et al., “An improved probabilistic method for screening safety-related human actions in nuclear power plants.” Nuclear Engineering and Design, 2018. 340: pp. 415-420.
  36. Abdin and E. Zio, “An integrated framework for operational flexibility assessment in multi-period power system planning with renewable energy production.” Applied Energy, 2018. 222: pp. 898-914.
  37. Su, J. Zhang, E. Zio, N. Yang, X. Li, and Z. Zhang, “An integrated systemic method for supply reliability assessment of natural gas pipeline networks.” Applied Energy, 2018. 209: pp. 489-501.Download
  38. Kim, H. Kim, E. Zio, and G. Heo, “Application of particle filtering for prognostics with measurement uncertainty in nuclear power plants.” Nuclear Engineering and Technology, 2018. 50(8): pp. 1314-1323.Download
  39. Liu, B. Yang, E. Zio, and X. Chen, “Artificial intelligence for fault diagnosis of rotating machinery: A review.” Mechanical Systems and Signal Processing, 2018. 108: pp. 33-47.
  40. Di Maio, F. Antonello, and E. Zio, “Condition-based probabilistic safety assessment of a spontaneous steam generator tube rupture accident scenario.” Nuclear Engineering and Design, 2018. 326: pp. 41-54.Download
  41. Compare, E. Zio, E. Moroni, G. Portinari, and T. Zanini, “Development of a methodology for systematic analysis of risk reduction by protective measures in tyre production machinery.” Safety Science, 2018. 110: pp. 13-28.
  42. Baraldi, G. Bonfanti, and E. Zio, “Differential evolution-based multi-objective optimization for the definition of a health indicator for fault diagnostics and prognostics.” Mechanical Systems and Signal Processing, 2018. 102: pp. 382-400.
  43. Zeng and E. Zio, “Dynamic Risk Assessment Based on Statistical Failure Data and Condition-Monitoring Degradation Data.” IEEE Transactions on Reliability, 2018. 67(2): pp. 609-622.
  44. P. Nguyen, J. Liu, and E. Zio, “Dynamic-weighted ensemble for fatigue crack degradation state prediction.” Engineering Fracture Mechanics, 2018. 194: pp. 212-223.Download
  45. Azzolin, L. Dueñas-Osorio, F. Cadini, and E. Zio, “Electrical and topological drivers of the cascading failure dynamics in power transmission networks.” Reliability Engineering and System Safety, 2018. 175: pp. 196-206.Download
  46. Rigamonti, P. Baraldi, E. Zio, I. Roychoudhury, K. Goebel, and S. Poll, “Ensemble of optimized echo state networks for remaining useful life prediction.” Neurocomputing, 2018. 281: pp. 121-138.
  47. Vagnoli, F. Di Maio, and E. Zio, “Ensembles of climate change models for risk assessment of nuclear power plants.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2018. 232(2): pp. 185-200.Download
  48. Razavi-Far, S. Chakrabarti, M. Saif, E. Zio, and V. Palade, “Extreme Learning Machine Based Prognostics of Battery Life.” International Journal on Artificial Intelligence Tools, 2018. 27(8).
  49. Tian, J. Deng, E. Zio, F. Maio, and F. Liao. Failure modes detection of nuclear systems using machine learning. in Proceedings – 2018 5th International Conference on Dependable Systems and Their Applications, DSA 2018. 2018.
  50. Nadjafi, M. Farsi, E. Zio, and A. K. Mousavi, “Fault trees analysis using expert opinion based on fuzzy-bathtub failure rates.” Quality and Reliability Engineering International, 2018. 34(6): pp. 1142-1157.
  51. Cannarile, M. Compare, P. Baraldi, F. Di Maio, and E. Zio, “Homogeneous continuous-time, finite-state hidden semi-markov modeling for enhancing empirical classification system diagnostics of industrial components.” Machines, 2018. 6(3).
  52. Wang, F. Di Maio, and E. Zio, “Hybrid fuzzy-PID control of a nuclear Cyber-Physical System working under varying environmental conditions.” Nuclear Engineering and Design, 2018. 331: pp. 54-67.Download
  53. Khayatian, M. Meshkinkiya, P. Baraldi, F. Di Maio, and E. Zio, “Hybrid Probabilistic-Possibilistic Treatment of Uncertainty in Building Energy Models: A Case Study of Sizing Peak Cooling Loads.” ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, 2018. 4(4).Download
  54. Liu, et al., “Ieee Access Special Section Editorial:Complex System Health Management Based on Condition Monitoring and Test Data.” IEEE Access, 2018. 6: pp. 72028-72032.
  55. Bellaera, et al. Integrated deterministic and probabilistic safety assessment of the cooling circuit of a superconducting magnet for nuclear fusion applications. in Safety and Reliability – Safe Societies in a Changing World – Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. 2018.
  56. P. Nguyen, E. Zio, and J. Liu. Model ensemble-based prognostic framework for fatigue crack growth prediction. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  57. Han and E. Zio, “Modeling an electric power microgrid by model predictive control for analyzing its characteristics from reliability, controllability and topological perspectives.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2018. 232(2): pp. 216-224.Download
  58. Luo, C. Zhang, S. Wang, E. Zio, and X. Wang, “Modeling and analysis of mover gaps in tubular moving-magnet linear oscillating motors.” Chinese Journal of Aeronautics, 2018. 31(5): pp. 927-940.Download
  59. Hong, Q. You, J. Yin, H. Yang, Y. Wang, and E. Zio. Modeling the dynamics of fault propagation in complex dynamical network by considering the heterogeneity of nodes. in 2017 IEEE Conference on Energy Internet and Energy System Integration, EI2 2017 – Proceedings. 2018.Download
  60. Yu, et al. Modeling the effect of air temperature and pressure on the reliability of a passive containment cooling system. in PSAM 2018 – Probabilistic Safety Assessment and Management. 2018.
  61. Zeng and E. Zio. Modelling unexpected failures with a hierarchical Bayesian model. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  62. Fang and E. Zio. Optimizing the resilience of interdependent infrastructure systems against intentional attacks. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  63. Liu, E. Zio, and Y. Hu, “Particle Filtering for Prognostics of a Newly Designed Product With a New Parameters Initialization Strategy Based on Reliability Test Data.” IEEE Access, 2018. 6: pp. 62564-62573.
  64. Sabri-Laghaie, M. Eshkevari, M. Fathi, and E. Zio, “Redundancy allocation problem in a bridge system with dependent subsystems.” Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2018.Download
  65. Compare, L. Bellani, E. Cobelli, and E. Zio, “Reinforcement learning-based flow management of gas turbine parts under stochastic failures.” International Journal of Advanced Manufacturing Technology, 2018. 99(9-12): pp. 2981-2992.
  66. Y. Li, H. Z. Huang, Y. F. Li, and E. Zio, “Reliability assessment of multi-state phased mission system with non-repairable multi-state components.” Applied Mathematical Modelling, 2018. 61: pp. 181-199.Download
  67. Y. Li, Y. F. Li, H. Z. Huang, and E. Zio, “Reliability assessment of phased-mission systems under random shocks.” Reliability Engineering and System Safety, 2018. 180: pp. 352-361.Download
  68. H. Lin, Y. F. Li, and E. Zio, “Reliability assessment of systems with dependent degradation processes based on Piecewise-Deterministic Markov process”, in Springer Series in Reliability Engineering. 2018. pp. 213-225.
  69. Q. Wang, C. H. Hu, X. S. Si, and E. Zio, “Remaining useful life prediction of degrading systems subjected to imperfect maintenance: Application to draught fans.” Mechanical Systems and Signal Processing, 2018. 100: pp. 802-813.
  70. Tosoni, A. Salo, and E. Zio, “Scenario Analysis for the Safety Assessment of Nuclear Waste Repositories: A Critical Review.” Risk Analysis, 2018. 38(4): pp. 755-776.Download
  71. Wang, N. Pedroni, I. Zentner, and E. Zio, “Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment.” Engineering Structures, 2018. 162: pp. 213-225.Download
  72. Li, S. Wang, J. Shi, Z. Ma, and E. Zio. Simulation on neural networks for DUET-based delay estimation of abrasive debris signal separation. in IET Conference Publications. 2018.Download
  73. Bani-Mustafa, Z. Zeng, E. Zio, and D. Vasseur. Strength of knowledge assessment for risk informed decision making. in Safety and Reliability – Safe Societies in a Changing World – Proceedings of the 28th International European Safety and Reliability Conference, ESREL 2018. 2018.Download
  74. A. Mellal and E. Zio. System reliability-redundancy allocation by evolutionary computation. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  75. Noroozian, R. B. Kazemzadeh, S. T. A. Niaki, and E. Zio, “System Risk Importance Analysis Using Bayesian Networks.” International Journal of Reliability, Quality and Safety Engineering, 2018. 25(1).
  76. Tang, E. Zio, Y. Yuan, J. Zhao, and X. Yan. The energy management and optimization strategy for fuel cell hybrid ships. in 2017 2nd International Conference on System Reliability and Safety, ICSRS 2017. 2018.
  77. W. Coit and E. Zio, “The evolution of system reliability optimization.” Reliability Engineering and System Safety, 2018.Download
  78. Zio, “The future of risk assessment.” Reliability Engineering and System Safety, 2018. 177: pp. 176-190.Download
  79. Zeng, R. Kang, M. Wen, and E. Zio, “Uncertainty theory as a basis for belief reliability.” Information Sciences, 2018. 429: pp. 26-36.Download

2017

  1. Abdin, I., Li, Y. F., & Zio, E. 2017. Risk assessment of power transmission network failures in a uniform pricing electricity market environment. Energy, 138: 1042-1055. Download
  2. Al-Dahidi, S., Di Maio, F., Baraldi, P., & Zio, E. 2017. A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(4): 350-363.
  3. Baraldi, P., Di Maio, F., Al-Dahidi, S., Zio, E., & Mangili, F. 2017. Prediction of industrial equipment Remaining Useful Life by fuzzy similarity and belief function theory. Expert Systems with Applications, 83: 226-241.
  4. Cadini, F., Agliardi, G. L., & Zio, E. 2017a. Estimation of rare event probabilities in power transmission networks subject to cascading failures. Reliability Engineering and System Safety, 158: 9-20.
  5. Cadini, F., Agliardi, G. L., & Zio, E. 2017b. A modeling and simulation framework for the reliability/availability assessment of a power transmission grid subject to cascading failures under extreme weather conditions. Applied Energy, 185: 267-279.
  6. Cannarile, F., Compare, M., Rossi, E., & Zio, E. 2017. A fuzzy expectation maximization based method for estimating the parameters of a multi-state degradation model from imprecise maintenance outcomes. Annals of Nuclear Energy, 110: 739-752.
  7. Compare, M., Baraldi, P., Bani, I., Zio, E., & Mc Donnell, D. 2017. Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components. Reliability Engineering and System Safety, 166: 25-40.
  8. Compare, M., Bellani, L., & Zio, E. 2017a. Reliability model of a component equipped with PHM capabilities. Reliability Engineering and System Safety, 168: 4-11. Download
  9. Compare, M., Bellani, L., & Zio, E. 2017b. Availability Model of a PHM-Equipped Component. IEEE Transactions on Reliability, 66(2): 487-501. Download
  10. Compare, M., Bellora, M., & Zio, E. 2017. Aggregation of importance measures for decision making in reliability engineering. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(3): 242-254. Download
  11. Di Maio, F., Baronchelli, S., Vagnoli, M., & Zio, E. 2017. Determination of prime implicants by differential evolution for the dynamic reliability analysis of non-coherent nuclear systems. Annals of Nuclear Energy, 102: 91-105.
  12. Di Maio, F., Picoco, C., Zio, E., & Rychkov, V. 2017. Safety margin sensitivity analysis for model selection in nuclear power plant probabilistic safety assessment. Reliability Engineering and System Safety, 162: 122-138.
  13. Di Maio, F., Rossetti, R., & Zio, E. 2017. Postprocessing of Accidental Scenarios by Semi-Supervised Self-Organizing Maps. Science and Technology of Nuclear Installations, 2017.
  14. Fan, M., Zeng, Z., Zio, E., Kang, R., & Chen, Y. 2017. A Stochastic Hybrid Systems based framework for modeling dependent failure processes. PLoS ONE, 12(2). Download
  15. Fan, M., Zeng, Z., Zio, E., & Kang, R. 2017. Modeling dependent competing failure processes with degradation-shock dependence. Reliability Engineering and System Safety, 165: 422-430. Download
  16. Fang, Y. P., 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. IEEE Systems Journal, 11(3): 1632-1643. Download
  17. Ferrario, E., Pedroni, N., Zio, E., & Lopez-Caballero, F. 2017. Bootstrapped Artificial Neural Networks for the seismic analysis of structural systems. Structural Safety, 67: 70-84. Download
  18. Fu, S., Zhang, D., Montewka, J., Zio, E., & Yan, X. 2017. A quantitative approach for risk assessment of a ship stuck in ice in Arctic waters, Safety Science.
  19. Hu, Y., Baraldi, P., Di Maio, F., & Zio, E. 2017. A Systematic Semi-Supervised Self-adaptable Fault Diagnostics approach in an evolving environment. Mechanical Systems and Signal Processing, 88: 413-427.
  20. Kuznetsova, E., Louhichi, R., Zio, E., & Farel, R. 2017. Input-output Inoperability Model for the risk analysis of eco-industrial parks. Journal of Cleaner Production, 164: 779-792.
  21. Larsen, E. M., Ding, Y., Li, Y. F., & Zio, E. 2017. Definitions of generalized multi-performance weighted multi-state K–out-of-n system and its reliability evaluations, Reliability Engineering and System Safety. Download
  22. Li, X., Hu, Y., Zio, E., & Kang, R. 2017. A Bayesian Optimal Design for Accelerated Degradation Testing Based on the Inverse Gaussian Process. IEEE Access, 5: 5690-5701. Download
  23. Liu, J., Li, Y. F., & Zio, E. 2017. A SVM framework for fault detection of the braking system in a high speed train. Mechanical Systems and Signal Processing, 87: 401-409. Download
  24. Liu, J., & Zio, E. 2017a. SVM hyperparameters tuning for recursive multi-step-ahead prediction. Neural Computing and Applications, 28(12): 3749-3763. Download
  25. Liu, J., & Zio, E. 2017b. Weighted-feature and cost-sensitive regression model for component continuous degradation assessment. Reliability Engineering and System Safety, 168: 210-217. Download
  26. Liu, J., & Zio, E. 2017c. System dynamic reliability assessment and failure prognostics. Reliability Engineering and System Safety, 160: 21-36. Download
  27. Liu, L., Li, X. Y., Zio, E., Kang, R., & Jiang, T. M. 2017. Model Uncertainty in Accelerated Degradation Testing Analysis. IEEE Transactions on Reliability, 66(3): 603-615. Download
  28. Mancuso, A., Compare, M., Salo, A., & Zio, E. 2017. Portfolio optimization of safety measures for reducing risks in nuclear systems. Reliability Engineering and System Safety, 167: 20-29.
  29. PANDIAN, G. P., DAS, D., LI, C., ZIO, E., & PECHT, M. 2017. A critique of reliability prediction techniques for avionics applications, Chinese Journal of Aeronautics.
  30. Pedroni, N., Zio, E., Pasanisi, A., & Couplet, M. 2017. A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment. Risk Analysis, 37(7): 1315-1340. Download
  31. Pedroni, N., Zio, E., & Cadini, F. 2017. Advanced monte carlo methods and applications. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(4).
  32. Pedroni, N., & Zio, E. 2017. An Adaptive Metamodel-Based Subset Importance Sampling approach for the assessment of the functional failure probability of a thermal-hydraulic passive system. Applied Mathematical Modelling, 48: 269-288. Download
  33. Piccinelli, R., Sansavini, G., Lucchetti, R., & Zio, E. 2017. A General Framework for the Assessment of Power System Vulnerability to Malicious Attacks. Risk Analysis, 37(11): 2182-2190. Download
  34. Podofillini, L., Sudret, B., Stojadinović, B., Zio, E., & Kröger, W. 2017. Editorial: Special Issue of ESREL 2015. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(4): 337-338.
  35. Rigamonti, M., Baraldi, P., Zio, E., Roychoudhury, I., Goebel, K., & Poll, S. 2017. Ensemble of optimized echo state networks for remaining useful life prediction, Neurocomputing. Download
  36. Sun, M. X., Li, Y. F., & Zio, E. 2017. On the optimal redundancy allocation for multi-state series-parallel systems under epistemic uncertainty, Reliability Engineering and System Safety.
  37. Turati, P., Pedroni, N., & Zio, E. 2017a. Simulation-based exploration of high-dimensional system models for identifying unexpected events. Reliability Engineering and System Safety, 165: 317-330. Download
  38. Turati, P., Pedroni, N., & Zio, E. 2017b. An Adaptive Simulation Framework for the Exploration of Extreme and Unexpected Events in Dynamic Engineered Systems. Risk Analysis, 37(1): 147-159. Download
  39. Wang, T. R., Mousseau, V., Pedroni, N., & Zio, E. 2017. An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data. Reliability Engineering and System Safety, 157: 139-151. Download
  40. Wang, W., Maio, F. D., & Zio, E. 2017. Three-loop Monte Carlo simulation approach to Multi-State Physics Modeling for system reliability assessment. Reliability Engineering and System Safety, 167: 276-289.
  41. ZENG, Z., CHEN, Y., ZIO, E., & KANG, R. 2017. A compositional method to model dependent failure behavior based on PoF models. Chinese Journal of Aeronautics, 30(5): 1729-1739. Download
  42. Zeng, Z., Di Maio, F., Zio, E., & Kang, R. 2017. A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 231(1): 36-52.
  43. Zeng, Z., Kang, R., Wen, M., & Zio, E. 2017. A model-based reliability metric considering aleatory and epistemic uncertainty. IEEE Access, 5: 15505-15515. Download
  44. Zeng, Z., & Zio, E. 2017a. A classification-based framework for trustworthiness assessment of quantitative risk analysis. Safety Science, 99: 215-226. Download
  45. Zeng, Z., & Zio, E. 2017b. An integrated modeling framework for quantitative business continuity assessment. Process Safety and Environmental Protection, 106: 76-88. Download
  46. Zhang, Q., Zeng, Z., Zio, E., & Kang, R. 2017. Probability box as a tool to model and control the effect of epistemic uncertainty in multiple dependent competing failure processes. Applied Soft Computing Journal, 56: 570-579. Download
  47. Zhao, Y., Di Maio, F., Zio, E., Zhang, Q., Dong, C. L., & Zhang, J. Y. 2017. Optimization of a dynamic uncertain causality graph for fault diagnosis in nuclear power plant. Nuclear Science and Techniques, 28(3).
  48. Zhao, Y., Zio, E., & Fu, G. 2017. Remaining storage life prediction for an electromagnetic relay by a particle filtering-based method. Microelectronics Reliability, 79: 221-230.

2016

  1. Ak R, Fink O, Zio E. Two machine learning approaches for short-term wind speed time-series prediction. IEEE transactions on neural networks and learning systems. 2016 Aug;27(8):1734-47.
  2. Al-Dahidi S, Di Maio F, Baraldi P, Zio E. A locally adaptive ensemble approach for data-driven prognostics of heterogeneous fleets. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2017 Mar 7:1748006X17693519.
  3. Al-Dahidi S, Di Maio F, Baraldi P, Zio E. Remaining useful life estimation in heterogeneous fleets working under variable operating conditions. Reliability Engineering & System Safety. 2016 Dec 31;156:109-24. Download
  4. Astigarraga D, Ibanez FM, Galarza A, Echeverria JM, Unanue I, Baraldi P, Zio E. Analysis of the Results of Accelerated Aging Tests in Insulated Gate Bipolar Transistors. IEEE Transactions on Power Electronics. 2016 Nov;31(11):7953-62.
  5. Baraldi P, Cannarile F, Di Maio F, Zio E. Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions. Engineering Applications of Artificial Intelligence. 2016 Nov 30;56:1-3. Download
  6. Bjerga T, Aven T, Zio E. Uncertainty treatment in risk analysis of complex systems: The cases of STAMP and FRAM. Reliability Engineering & System Safety. 2016 Dec 31;156:203-9.
  7. Cassetti G, Colombo E, Zio E. A Thermorisk framework for the analysis of energy systems by combining risk and exergy analysis. Energy Conversion and Management. 2016 Jun 1;117:281-8.
  8. Compare M, Baraldi P, Bani I, Zio E, Mc Donnell D. Development of a Bayesian multi-state degradation model for up-to-date reliability estimations of working industrial components. Reliability Engineering & System Safety. 2016 Dec 5.
  9. Compare M, Martini F, Mattafirri S, Carlevaro F, Zio E. Semi-Markov model for the oxidation degradation mechanism in gas turbine nozzles. IEEE Transactions on Reliability. 2016 Jun;65(2):574-81.
  10. Di Maio F, Bandini A, Zio E, Alfonsi A, Rabiti C. An approach based on Support Vector Machines and a KD Tree search algorithm for identification of the failure domain and safest operating conditions in nuclear systems. Progress in Nuclear Energy. 2016 Apr 30;88:297-309. Download
  11. Di Maio F, Bandini A, Zio E, Alberola SC, Sanchez-Saez F, Martorell S. Bootstrapped-ensemble-based Sensitivity Analysis of a trace thermal-hydraulic model based on a limited number of PWR large break loca simulations. Reliability Engineering & System Safety. 2016 Sep 30;153:122-34. Download
  12. Di Maio F, Baronchelli S, Vagnoli M, Zio E. Determination of prime implicants by differential evolution for the dynamic reliability analysis of non-coherent nuclear systems. Annals of Nuclear Energy. 2017 Apr 30;102:91-105. Download
  13. Di Maio F, Nicola G, Borgonovo E, Zio E. Invariant methods for an ensemble-based sensitivity analysis of a passive containment cooling system of an AP1000 nuclear power plant. Reliability Engineering & System Safety. 2016 Jul 31;151:12-9. Download
  14. Di Maio F, Rai A, Zio E. A dynamic probabilistic safety margin characterization approach in support of Integrated Deterministic and Probabilistic Safety Analysis. Reliability Engineering & System Safety. 2016 Jan 31;145:9-18. Download
  15. Di Maio F, Vagnoli M, Zio E. Transient identification by clustering based on Integrated Deterministic and Probabilistic Safety Analysis outcomes. Annals of Nuclear Energy. 2016 Jan 31;87:217-27. Download
  16. Fang YP, Pedroni N, Zio E. Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems. IEEE Transactions on Reliability. 2016 Jun;65(2):502-12.
  17. Ferrario E, Pedroni N, Zio E. Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation. Reliability Engineering & System Safety. 2016 Nov 30;155:78-96.
  18. Fu S, Yan X, Zhang D, Li C, Zio E. Framework for the quantitative assessment of the risk of leakage from LNG-fueled vessels by an event tree-CFD. Journal of Loss Prevention in the Process Industries. 2016 Sep 30;43:42-52.
  19. Hu Y, Baraldi P, Di Maio F, Zio E. Online Performance Assessment Method for a Model-Based Prognostic Approach. IEEE Transactions on Reliability. 2016 Jun;65(2):718-35. Download
  20. Kang R, Zhang Q, Zeng Z, Zio E, Li X. Measuring reliability under epistemic uncertainty: Review on non-probabilistic reliability metrics. Chinese Journal of Aeronautics. 2016 Jun 30;29(3):571-9.
  21. Katina PF, Keating CB, Zio E, Gheorghe AV. A Criticality-based Approach for the Analysis of Smart Grids. Technology and Economics of Smart Grids and Sustainable Energy. 2016 Dec 1;1(1):14.
  22. Kuznetsova E, Zio E, Farel R. A methodological framework for Eco-Industrial Park design and optimization. Journal of Cleaner Production. 2016 Jul 10;126:308-24.
  23. Lin YH, Li YF, Zio E. Reliability assessment of systems subject to dependent degradation processes and random shocks. IIE Transactions. 2016 Nov 1;48(11):1072-85.
  24. Lin YH, Li YF, Zio E. Component Importance Measures for Components With Multiple Dependent Competing Degradation Processes and Subject to Maintenance. IEEE Transactions on Reliability. 2016 Jun;65(2):547-57.
  25. Lin YH, Li YF, Zio E. A Reliability Assessment Framework for Systems With Degradation Dependency by Combining Binary Decision Diagrams and Monte Carlo Simulation. IEEE Transactions on Systems, Man, and Cybernetics: Systems. 2016 Nov;46(11):1556-64.
  26. Liu J, Zio E. An adaptive online learning approach for Support Vector Regression: Online-SVR-FID. Mechanical Systems and Signal Processing. 2016 Aug 31;76:796-809.
  27. Liu J, Zio E. A SVR-based ensemble approach for drifting data streams with recurring patterns. Applied Soft Computing. 2016 Oct 31;47:553-64.
  28. Liu J, Zio E. Feature vector regression with efficient hyperparameters tuning and geometric interpretation. Neurocomputing. 2016 Dec 19;218:411-22.
  29. Liu J, Zio E. SVM hyperparameters tuning for recursive multi-step-ahead prediction. Neural Computing and Applications.:1-5.
  30. Liu X, Ferrario E, Zio E. Resilience analysis framework for interconnected critical infrastructures. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering. 2017 Jun 1;3(2):021001.
  31. Mancuso A, Compare M, Salo A, Zio E, Laakso T. Risk-based optimization of pipe inspections in large underground networks with imprecise information. Reliability Engineering & System Safety. 2016 Aug 31;152:228-38.
  32. Mellal MA, Zio E. A penalty guided stochastic fractal search approach for system reliability optimization. Reliability Engineering & System Safety. 2016 Aug 31;152:213-27.
  33. Mena R, Hennebel M, Li YF, Zio E. A multi-objective optimization framework for risk-controlled integration of renewable generation into electric power systems. Energy. 2016 Jul 1;106:712-27.
  34. Mo HD, Li YF, Zio E. A system-of-systems framework for the reliability analysis of distributed generation systems accounting for the impact of degraded communication networks. Applied Energy. 2016 Dec 1;183:805-22.
  35. Naseri M, Baraldi P, Compare M, Zio E. Availability assessment of oil and gas processing plants operating under dynamic arctic weather conditions. Reliability Engineering & System Safety. 2016 Aug 31;152:66-82.
  36. Pedroni N, Zio E, Pasanisi A, Couplet M. Empirical comparison of two methods for the Bayesian update of the parameters of probability distributions in a two-level hybrid probabilistic-possibilistic uncertainty framework for risk assessment. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering. 2015 Nov 9;2(1):04015015.
  37. Pedroni N, Zio E, Pasanisi A, Couplet M. A Critical Discussion and Practical Recommendations on Some Issues Relevant to the Nonprobabilistic Treatment of Uncertainty in Engineering Risk Assessment. Risk Analysis. 2017 Jan 1.
  38. Rigamonti M, Baraldi P, Zio E, Astigarraga D, Galarza A. Particle filter-based prognostics for an electrolytic capacitor working in variable operating conditions. IEEE Transactions on Power Electronics. 2016 Feb;31(2):1567-75.
  39. Rigamonti M, Baraldi P, Zio E, Alessi A, Astigarraga D, Galarza A. Identification of the degradation state for condition-based maintenance of insulated gate bipolar transistors: A self-organizing map approach. Microelectronics Reliability. 2016 May 31;60:48-61.
  40. Turati P, Pedroni N, Zio E. An adaptive simulation framework for the exploration of extreme and unexpected events in dynamic engineered systems. Risk analysis. 2016 Mar 1.
  41. Turati P, Pedroni N, Zio E. Advanced RESTART method for the estimation of the probability of failure of highly reliable hybrid dynamic systems. Reliability Engineering & System Safety. 2016 Oct 31;154:117-26.
  42. Wang W, Di Maio F, Zio E. Component-and system-level degradation modeling of digital Instrumentation and Control systems based on a Multi-State Physics Modeling Approach. Annals of Nuclear Energy. 2016 Sep 30;95:135-47. Download
  43. Wang TR, Pedroni N, Zio E. Identification of protective actions to reduce the vulnerability of safety-critical systems to malevolent acts: A sensitivity-based decision-making approach. Reliability Engineering & System Safety. 2016 Mar 31;147:9-18.
  44. Wang TR, Mousseau V, Pedroni N, Zio E. An empirical classification-based framework for the safety criticality assessment of energy production systems, in presence of inconsistent data. Reliability Engineering & System Safety. 2017 Jan 31;157:139-51.
  45. Zeng Z, Di Maio F, Zio E, Kang R. A hierarchical decision-making framework for the assessment of the prediction capability of prognostic methods. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 2016:1748006X16683321.
  46. Zeng Z, Zio E. An integrated modeling framework for quantitative business continuity assessment. Process Safety and Environmental Protection. 2017 Feb 28;106:76-88.
  47. Limiao Z, Daqing L, Pengju Q, Bowen F, Yinan J, Zio E, Rui K. Reliability analysis of interdependent lattices. Physica A: Statistical Mechanics and its Applications. 2016 Jun 15;452:120-5.
  48. Zhang Q, Zeng Z, Zio E, Kang R. Probability box as a tool to model and control the effect of epistemic uncertainty in multiple dependent competing failure processes. Applied Soft Computing. 2017 Jul 31;56:570-9.
  49. Zhao W, Tao T, Zio E, Wang W. A Novel Hybrid Method of Parameters Tuning in Support Vector Regression for Reliability Prediction: Particle Swarm Optimization Combined With Analytical Selection. IEEE Transactions on Reliability. 2016 Sep;65(3):1393-405.
  50. Zio E. Challenges in the vulnerability and risk analysis of critical infrastructures. Reliability Engineering & System Safety. 2016 Aug 31;152:137-50.
  51. Zio E. Reliability Analysis of Systems of Systems. IEEE Reliability Magazine.2016:1-6.
  52. Zio E. Some challenges and opportunities in reliability engineering. IEEE Transactions on Reliability. 2016 Dec;65(4):1769-82.
  53. Zio E. Critical infrastructures vulnerability and risk analysis. European Journal for Security Research. 2016 Oct 1;1(2):97-114.

2015

  1. Di Maio F, Nicola G, Zio E, Yu Y. Finite mixture models for sensitivity analysis of thermal hydraulic codes for passive safety systems analysis. Nuclear Engineering and Design. 2015;289:144-54. Download
  2. Baraldi P, Mangili F, Zio E. A belief function theory based approach to combining different representation of uncertainty in prognostics. Information Sciences. 2015;303:134-49. Download
  3. Rigamonti M, Baraldi P, Zio E, Astigarraga D, Galarza A. Particle Filter-Based Prognostics for an Electrolytic Capacitor Working in Variable Operating Conditions. Ieee Transactions on Power Electronics. 2016;31:1567-75. Download
  4. Di Maio F, Baronchelli S, Zio E. A Visual Interactive Method for Prime Implicants Identification. Ieee Transactions on Reliability. 2015;64:539-49. Download
  5. Baraldi P, Di Maio F, Genini D, Zio E. Reconstruction of missing data in multidimensional time series by fuzzy similarity. Applied Soft Computing. 2015;26:1-9. Download
  6. Di Maio F, Baronchelli S, Zio E. A Computational Framework for Prime Implicants Identification in Noncoherent Dynamic Systems. Risk Analysis. 2015;35:142-56. Download
  7. Di Maio F, Vagnoli M, Zio E. Risk-Based Clustering for Near Misses Identification in Integrated Deterministic and Probabilistic Safety Analysis. Science and Technology of Nuclear Installations. 2015. Download
  8. Di Maio F, Colli D, Zio E, Tao L, Tong J. A Multi-State Physics Modeling approach for the reliability assessment of Nuclear Power Plants piping systems. Annals of Nuclear Energy. 2015;80:151-65. Download
  9. Baraldi P, Podofillini L, Mkrtchyan L, Zio E, Dang VN. Comparing the treatment of uncertainty in Bayesian networks and fuzzy expert systems used for a human reliability analysis application. Reliability Engineering & System Safety. 2015;138:176-93. Download
  10. Baraldi P, Di Maio F, Turati P, Zio E. Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method. Mechanical Systems and Signal Processing. 2015;60-61:29-44. Download
  11. Al-Dahidi, S., Di Maio, F., Baraldi, P., Zio, E., Seraoui, R., “A Novel Ensemble Clustering for Operational Transients Classification with Application to a Nuclear Power Plant Turbine.” International Journal of Prognostics and Health Management,Prognostics and Health Management Society, pp. 21, 2015. Download
  12. Compare M, Baraldi P, Turati P, Zio E. Interacting multiple-models, state augmented Particle Filtering for fault diagnostics. Probabilistic Engineering Mechanics. 2015;40:12-24. Download
  13. Baraldi P, Di Maio F, Rigamonti M, Zio E, Seraoui R. Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients. Mechanical Systems and Signal Processing. 2015;58-59:160-78. Download
  14. Baraldi P, Di Maio F, Rigamonti M, Zio E, Seraoui R. Unsupervised clustering of vibration signals for identifying anomalous conditions in a nuclear turbine. Journal of Intelligent & Fuzzy Systems. 2015;28:1723-31. Download
  15. Ak R, Vitelli V, Zio E. An Interval-Valued Neural Network Approach for Uncertainty Quantification in Short-Term Wind Speed Prediction. IEEE Transactions on Neural Networks and Learning Systems. 2015;26:2787-800.
  16. Baraldi P, Mangili F, Zio E. A prognostics approach to nuclear component degradation modeling based on Gaussian Process Regression. Progress in Nuclear Energy. 2015;78:141-54.
  17. Chang K, Kim S, Chang D, Ahn J, Zio E. Uncertainty analysis for target SIL determination in the offshore industry. Journal of Loss Prevention in the Process Industries. 2015;34:151-62.
  18. Compare M, Martini F, Zio E. Genetic algorithms for condition-based maintenance optimization under uncertainty. European Journal of Operational Research. 2015;244:611-23.
  19. Compare M, Zio E. Genetic Algorithms in the Framework of Dempster-Shafer Theory of Evidence for Maintenance Optimization Problems. Ieee Transactions on Reliability. 2015;64:645-60.
  20. Fang Y, Pedroni N, Zio E. Optimization of Cascade-Resilient Electrical Infrastructures and its Validation by Power Flow Modeling. Risk Analysis. 2015;35:594-607.
  21. Hu Y, Baraldi P, Di Maio F, Zio E. A particle filtering and kernel smoothing-based approach for new design component prognostics. Reliability Engineering & System Safety. 2015;134:19-31.
  22. Kuznetsova E, Ruiz C, Li Y-F, Zio E. Analysis of robust optimization for decentralized microgrid energy management under uncertainty. International Journal of Electrical Power & Energy Systems. 2015;64:815-32.
  23. Li D, Zhang Q, Zio E, Havlin S, Kang R. Network reliability analysis based on percolation theory. Reliability Engineering & System Safety. 2015;142:556-62.
  24. Li YF, Valla S, Zio E. Reliability assessment of generic geared wind turbines by GTST-MLD model and Monte Carlo simulation. Renewable Energy. 2015;83:222-33.
  25. Lin Y-H, Li Y-F, Zio E. Fuzzy Reliability Assessment of Systems With Multiple-Dependent Competing Degradation Processes. Ieee Transactions on Fuzzy Systems. 2015;23:1428-38.
  26. Lin Y-H, Li Y-F, Zio E. Integrating Random Shocks Into Multi-State Physics Models of Degradation Processes for Component Reliability Assessment. Ieee Transactions on Reliability. 2015;64:154-66.
  27. Pedroni N, Zio E. Hybrid Uncertainty and Sensitivity Analysis of the Model of a Twin-Jet Aircraft. Journal of Aerospace Information Systems. 2015;12:73-96.
  28. Prodan I, Zio E, Stoican F. Fault tolerant predictive control design for reliable microgrid energy management under uncertainties. Energy. 2015;91:20-34.
  29. Razavi-Far R, Palade V, Zio E. Invasive weed classification. Neural Computing & Applications. 2015;26:525-39.
  30. Rocchetta R, Li YF, Zio E. Risk assessment and risk-cost optimization of distributed power generation systems considering extreme weather conditions. Reliability Engineering & System Safety. 2015;136:47-61.
  31. Wang TR, Mousseau V, Pedroni N, Zio E. Assessing the Performance of a Classification-Based Vulnerability Analysis Model. Risk Analysis. 2015;35:1674-89.
  32. Zio E, Delfanti M, Giorgi L, Olivieri V, Sansavini G. Monte Carlo simulation-based probabilistic assessment of DG penetration in medium voltage distribution networks. International Journal of Electrical Power & Energy Systems. 2015;64:852-60.

2014

  1. Al-Dahidi S, Baraldi P, Di Maio F, Zio E. A novel fault detection system taking into account uncertainties in the reconstructed signals. Annals of Nuclear Energy. 2014;73:131-44.
  2. Alipour Z, Monfared MAS, Zio E. Comparing topological and reliability-based vulnerability analysis of Iran power transmission network. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2014;228:139-51.
  3. Aven T, Zio E. Foundational Issues in Risk Assessment and Risk Management. Risk Analysis. 2014;34:1164-72.
  4. Baraldi P, Compare M, Zio E. Uncertainty treatment in expert information systems for maintenance policy assessment. Applied Soft Computing. 2014;22:297-310.
  5. Baraldi P, Zio E, Mangili F, Gola G, Nystad BH. Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms. International Journal of Computational Intelligence Systems. 2014;7:225-41.
  6. Bjerga T, Aven T, Zio E. An illustration of the use of an approach for treating model uncertainties in risk assessment. Reliability Engineering & System Safety. 2014;125:46-53.
  7. Cadini F, Santos F, Zio E. An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability. Reliability Engineering & System Safety. 2014;131:109-17.
  8. Cadini F, Santos F, Zio E. Passive systems failure probability estimation by the meta-AK-IS2 algorithm. Nuclear Engineering and Design. 2014;277:203-11.
  9. Compare M, Zio E. Predictive Maintenance by Risk Sensitive Particle Filtering. Ieee Transactions on Reliability. 2014;63:134-43.
  10. Di Maio F, Baronchelli S, Zio E. Hierarchical differential evolution for minimal cut sets identification: Application to nuclear safety systems. European Journal of Operational Research. 2014;238:645-52.
  11. Di Maio F, Nicola G, Zio E, Yu Y. Ensemble-based sensitivity analysis of a Best Estimate Thermal Hydraulics model: Application to a Passive Containment Cooling System of an AP1000 Nuclear Power Plant. Annals of Nuclear Energy. 2014;73:200-10.
  12. Ferrario E, Zio E. Assessing nuclear power plant safety and recovery from earthquakes using a system-of-systems approach. Reliability Engineering & System Safety. 2014;125:103-16.
  13. Ferrario E, Zio E. Goal Tree Success Tree-Dynamic Master Logic Diagram and Monte Carlo simulation for the safety and resilience assessment of a multistate system of systems. Engineering Structures. 2014;59:411-33.
  14. Fink O, Zio E, Weidmann U. Quantifying the reliability of fault classifiers. Information Sciences. 2014;266:65-74.
  15. Fink O, Zio E, Weidmann U. Predicting component reliability and level of degradation with complex-valued neural networks. Reliability Engineering & System Safety. 2014;121:198-206.
  16. Flage R, Aven T, Zio E, Baraldi P. Concerns, Challenges, and Directions of Development for the Issue of Representing Uncertainty in Risk Assessment. Risk Analysis. 2014;34:1196-207.
  17. Hong S, Yang H, Zio E, Huang N. A novel dynamics model of fault propagation and equilibrium analysis in complex dynamical communication network. Applied Mathematics and Computation. 2014;247:1021-9.
  18. Hong S, Zhou Z, Zio E, Hong K. Condition assessment for the performance degradation of bearing based on a combinatorial feature extraction method. Digital Signal Processing. 2014;27:159-66.
  19. Hong S, Zhou Z, Zio E, Wang W. An adaptive method for health trend prediction of rotating bearings. Digital Signal Processing. 2014;35:117-23.
  20. Kuznetsova E, Li Y-F, Ruiz C, Zio E. An integrated framework of agent-based modelling and robust optimization for microgrid energy management. Applied Energy. 2014;129:70-88.
  21. Kuznetsova E, Ruiz C, Li YF, Zio E. Reliable microgrid energy management under environmental uncertainty and mechanical failures: An agent-based modeling and robust optimization approach2014.
  22. Li Y-F, Ding Y, Zio E. Random Fuzzy Extension of the Universal Generating Function Approach for the Reliability Assessment of Multi-State Systems Under Aleatory and Epistemic Uncertainties. Ieee Transactions on Reliability. 2014;63:13-25.
  23. Liu C, Li D, Zio E, Kang R. A Modeling Framework for System Restoration from Cascading Failures. Plos One. 2014;9.
  24. Lo C-K, Pedroni N, Zio E. TREATING UNCERTAINTIES IN A NUCLEAR SEISMIC PROBABILISTIC RISK ASSESSMENT BY MEANS OF THE DEMPSTER-SHAFER THEORY OF EVIDENCE. Nuclear Engineering and Technology. 2014;46:11-26.
  25. Mena R, Hennebel M, Li Y-F, Ruiz C, Zio E. A risk-based simulation and multi-objective optimization framework for the integration of distributed renewable generation and storage. Renewable & Sustainable Energy Reviews. 2014;37:778-93.
  26. Mena R, Hennebel M, Li Y-F, Zio E. Self-adaptable hierarchical clustering analysis and differential evolution for optimal integration of renewable distributed generation. Applied Energy. 2014;133:388-402.
  27. Prodan I, Zio E. A model predictive control framework for reliable microgrid energy management. International Journal of Electrical Power & Energy Systems. 2014;61:399-409.
  28. Razavi-Far R, Zio E, Palade V. Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios. Expert Systems with Applications. 2014;41:6386-99.
  29. Sansavini G, Piccinelli R, Golea LR, Zio E. A stochastic framework for uncertainty analysis in electric power transmission systems with wind generation. Renewable Energy. 2014;64:71-81.
  30. Yang Z, Chen YX, Li YF, Zio E, Kang R. Smart electricity meter reliability prediction based on accelerated degradation testing and modeling. International Journal of Electrical Power & Energy Systems. 2014;56:209-19.
  31. Zio E. Integrated deterministic and probabilistic safety assessment: Concepts, challenges, research directions. Nuclear Engineering and Design. 2014;280:413-9.

2013

  1. Ak R, Li Y, Vitelli V, Zio E, Droguett EL, Couto Jacinto CM. NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment. Expert Systems with Applications. 2013;40:1205-12.
  2. Baraldi P, Balestrero A, Compare M, Benetrix L, Despujols A, Zio E. A Modeling Framework for Maintenance Optimization of Electrical Components Based on Fuzzy Logic and Effective Age. Quality and Reliability Engineering International. 2013;29:385-405.
  3. Baraldi P, Cadini F, Mangili F, Zio E. Model-based and data-driven prognostics under different available information. Probabilistic Engineering Mechanics. 2013;32:66-79.
  4. Baraldi P, Compare M, Sauco S, Zio E. Ensemble neural network-based particle filtering for prognostics. Mechanical Systems and Signal Processing. 2013;41:288-300.
  5. Baraldi P, Compare M, Zio E. Maintenance policy performance assessment in presence of imprecision based on Dempster-Shafer Theory of Evidence. Information Sciences. 2013;245:112-31.
  6. Baraldi P, Compare M, Zio E. Uncertainty analysis in degradation modeling for maintenance policy assessment. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2013;227:267-78.
  7. Baraldi P, Compare M, Zio E. Component Ranking by Birnbaum Importance in Presence of Epistemic Uncertainty in Failure Event Probabilities. Ieee Transactions on Reliability. 2013;62:37-48.
  8. Baraldi P, Di Maio F, Zio E. Unsupervised Clustering for Fault Diagnosis in Nuclear Power Plant Components. International Journal of Computational Intelligence Systems. 2013;6:764-77.
  9. Baraldi P, Mangili F, Zio E. Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data. Reliability Engineering & System Safety. 2013;112:94-108.
  10. Cadini F, De Sanctis J, Bertoli I, Zio E. Monte Carlo simulation of radionuclide migration in fractured rock for the performance assessment of radioactive waste repositories. Reliability Engineering & System Safety. 2013;111:241-7.
  11. Cadini F, De Sanctis J, Bertoli I, Zio E. Upscaling of a dual-permeability Monte Carlo simulation model for contaminant transport in fractured networks by genetic algorithm parameter identification. Stochastic Environmental Research and Risk Assessment. 2013;27:505-16.
  12. Ciriello V, Di Federico V, Riva M, Cadini F, De Sanctis J, Zio E, et al. Polynomial chaos expansion for global sensitivity analysis applied to a model of radionuclide migration in a randomly heterogeneous aquifer. Stochastic Environmental Research and Risk Assessment. 2013;27:945-54.
  13. Fang C, Marle F, Xie M, Zio E. An Integrated Framework for Risk Response Planning Under Resource Constraints in Large Engineering Projects. Ieee Transactions on Engineering Management. 2013;60:627-39.
  14. Fang Y-P, Zio E. Unsupervised spectral clustering for hierarchical modelling and criticality analysis of complex networks. Reliability Engineering & System Safety. 2013;116:64-74.
  15. Fink O, Zio E. Semi-Markov processes with semi-regenerative states for the availability analysis of chemical process plants with storage units. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2013;227:279-89.
  16. Fink O, Zio E, Weidmann U. Predicting time series of railway speed restrictions with time-dependent machine learning techniques. Expert Systems with Applications. 2013;40:6033-40.
  17. Flage R, Baraldi P, Zio E, Aven T. Probability and Possibility-Based Representations of Uncertainty in Fault Tree Analysis. Risk Analysis. 2013;33:121-33.
  18. Johansson J, Hassel H, Zio E. Reliability and vulnerability analyses of critical infrastructures: Comparing two approaches in the context of power systems. Reliability Engineering & System Safety. 2013;120:27-38.
  19. Kuznetsova E, Li Y-F, Ruiz C, Zio E, Ault G, Bell K. Reinforcement learning for microgrid energy management. Energy. 2013;59:133-46.
  20. Li YF, Sansavini G, Zio E. Non-dominated sorting binary differential evolution for the multi-objective optimization of cascading failures protection in complex networks. Reliability Engineering & System Safety. 2013;111:195-205.
  21. Li Y-F, Pedroni N, Zio E. A Memetic Evolutionary Multi-Objective Optimization Method for Environmental Power Unit Commitment. Ieee Transactions on Power Systems. 2013;28:2660-9.
  22. Liu J, Seraoui R, Vitelli V, Zio E. Nuclear power plant components condition monitoring by probabilistic support vector machine. Annals of Nuclear Energy. 2013;56:23-33.
  23. Pedroni N, Zio E. Uncertainty Analysis in Fault Tree Models with Dependent Basic Events. Risk Analysis. 2013;33:1146-73.
  24. Pedroni N, Zio E, Ferrario E, Pasanisi A, Couplet M. Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model. Computers & Structures. 2013;126:199-213.
  25. Ripamonti G, Lonati G, Baraldi P, Cadini F, Zio E. Uncertainty propagation in a model for the estimation of the ground level concentration of dioxin/furans emitted from a waste gasification plant. Reliability Engineering & System Safety. 2013;120:98-105.
  26. Rocco CM, Zio E. Global Sensitivity Analysis in a Multi-State Physics Model of Component Degradation Based on a Hybrid State-Space Enrichment and Polynomial Chaos Expansion Approach. Ieee Transactions on Reliability. 2013;62:781-8.
  27. Wei Z, Tao T, Ding Z, Zio E. A dynamic particle filter-support vector regression method for reliability prediction. Reliability Engineering & System Safety. 2013;119:109-16.
  28. Zhao W, Tao T, Zio E. Parameters Tuning in Support Vector Regression for Reliability Forecasting. In: Zio E, Baraldi P, Pierucci S, Klemes JJ, editors. 2013 Prognostics and Health Management Conference2013. p. 523-8.
  29. Zio E, Aven T. Industrial disasters: Extreme events, extremely rare. Some reflections on the treatment of uncertainties in the assessment of the associated risks. Process Safety and Environmental Protection. 2013;91:31-45.
  30. Zio E, Compare M. Evaluating maintenance policies by quantitative modeling and analysis. Reliability Engineering & System Safety. 2013;109:53-65.
  31. Zio E, Ferrario E. A framework for the system-of-systems analysis of the risk for a safety-critical plant exposed to external events. Reliability Engineering & System Safety. 2013;114:114-25.
  32. Zio E, Sansavini G. Vulnerability of Smart Grids With Variable Generation and Consumption: A System of Systems Perspective. Ieee Transactions on Systems Man Cybernetics-Systems. 2013;43:477-87.

2012

  1. Baraldi P, Di Maio F, Pappaglione L, Zio E, Seraoui R. Condition monitoring of electrical power plant components during operational transients. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2012;226:568-83.
  2. Baraldi P, Mangili F, Zio E. A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics. Ieee Transactions on Reliability. 2012;61:966-77.
  3. Cadini F, Avram D, Pedroni N, Zio E. Subset Simulation of a reliability model for radioactive waste repository performance assessment. Reliability Engineering & System Safety. 2012;100:75-83.
  4. Cadini F, De Sanctis J, Cherubini A, Zio E, Riva M, Guadagnini A. Nominal Range Sensitivity Analysis of peak radionuclide concentrations in randomly heterogeneous aquifers. Annals of Nuclear Energy. 2012;47:166-72.
  5. Cadini F, Zio E, Peloni G. Particle Filtering for the Detection of Fault Onset Time in Hybrid Dynamic Systems With Autonomous Transitions. Ieee Transactions on Reliability. 2012;61:130-9.
  6. Di Maio F, Hu J, Tse P, Pecht M, Tsui K, Zio E. Ensemble-approaches for clustering health status of oil sand pumps. Expert Systems with Applications. 2012;39:4847-59.
  7. Di Maio F, Tsui KL, Zio E. Combining Relevance Vector Machines and exponential regression for bearing residual life estimation. Mechanical Systems and Signal Processing. 2012;31:405-27.
  8. Flage R, Aven T, Baraldi P, Zio E. An imprecision importance measure for uncertainty representations interpreted as lower and upper probabilities, with special emphasis on possibility theory. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2012;226:656-65.
  9. Li Y, Zio E. Uncertainty analysis of the adequacy assessment model of a distributed generation system. Renewable Energy. 2012;41:235-44.
  10. Li Y-F, Zio E. A multi-state model for the reliability assessment of a distributed generation system via universal generating function. Reliability Engineering & System Safety. 2012;106:28-36.
  11. Lins ID, Moura MdC, Zio E, Droguett EL. A particle swarm-optimized support vector machine for reliability prediction. Quality and Reliability Engineering International. 2012;28:141-58.
  12. Pedroni N, Zio E. EMPIRICAL COMPARISON OF METHODS FOR THE HIERARCHICAL PROPAGATION OF HYBRID UNCERTAINTY IN RISK ASSESSMENT, IN PRESENCE OF DEPENDENCES. International Journal of Uncertainty Fuzziness and Knowledge-Based Systems. 2012;20:509-57.
  13. Razavi-Far R, Baraldi P, Zio E. Dynamic Weighting Ensembles for Incremental Learning and Diagnosing New Concept Class Faults in Nuclear Power Systems. Ieee Transactions on Nuclear Science. 2012;59:2520-30.
  14. Zio E, Di Maio F. Fatigue crack growth estimation by relevance vector machine. Expert Systems with Applications. 2012;39:10681-92.
  15. Zio E, Golea LR. Analyzing the topological, electrical and reliability characteristics of a power transmission system for identifying its critical elements. Reliability Engineering & System Safety. 2012;101:67-74.
  16. Zio E, Golea LR, Rocco S CM. Identifying groups of critical edges in a realistic electrical network by multi-objective genetic algorithms. Reliability Engineering & System Safety. 2012;99:172-7.
  17. Zio E, Golea LR, Sansavini G. Optimizing protections against cascades in network systems: A modified binary differential evolution algorithm. Reliability Engineering & System Safety. 2012;103:72-83.
  18. Zio E, Pedroni N. Monte Carlo simulation-based sensitivity analysis of the model of a thermal-hydraulic passive system. Reliability Engineering & System Safety. 2012;107:90-106.
  19. Zio E, Piccinelli R, Delfanti M, Olivieri V, Pozzi M. Application of the load flow and random flow models for the analysis of power transmission networks. Reliability Engineering & System Safety. 2012;103:102-9.

2011

  1. Amato A, Compare M, Gallisto M, Maccari A, Paganelli M, Zio E. Business interruption and loss of assets risk assessment in support of the design of an innovative concentrating solar power plant. Renewable Energy. 2011;36:1558-67.
  2. Aven T, Zio E. Some considerations on the treatment of uncertainties in risk assessment for practical decision making. Reliability Engineering & System Safety. 2011;96:64-74.
  3. Baraldi P, Canesi R, Zio E, Seraoui R, Chevalier R. Genetic algorithm-based wrapper approach for grouping condition monitoring signals of nuclear power plant components. Integrated Computer-Aided Engineering. 2011;18:221-34.
  4. Baraldi P, Compare M, Despujols A, Zio E. Modelling the effects of maintenance on the degradation of a water-feeding turbo-pump of a nuclear power plant. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2011;225:169-83.
  5. Baraldi P, Gola G, Zio E, Roverso D, Hoffmann M. A randomized model ensemble approach for reconstructing signals from faulty sensors. Expert Systems with Applications. 2011;38:9211-24.
  6. Baraldi P, Razavi-Far R, Zio E. Bagged ensemble of Fuzzy C-Means classifiers for nuclear transient identification. Annals of Nuclear Energy. 2011;38:1161-71.
  7. Baraldi P, Razavi-Far R, Zio E. Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions. Reliability Engineering & System Safety. 2011;96:480-8.
  8. Baraldi P, Zio E, Gola G, Roverso D, Hoffmann M. Two novel procedures for aggregating randomized model ensemble outcomes for robust signal reconstruction in nuclear power plants monitoring systems. Annals of Nuclear Energy. 2011;38:212-20.
  9. Baraldi P, Zio E, Gola G, Roverso D, Hoffmann M. Signal reconstruction by a GA-optimized ensemble of PCA models. Nuclear Engineering and Design. 2011;241:301-9.
  10. Cadini F, Zio E, Golea LR, Petrescu CA. Application of multi-objective genetic algorithms to two case studies of reliability efficiency analysis and optimal expansion of electrical transmission networks. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2011;225:365-74.
  11. Cunningham A, Wang W, Zio E, Wall A, Allanson D, Wang J. Application of delay-time analysis via Monte Carlo simulation. Journal of Marine Engineering and Technology. 2011;10:57-72.
  12. Di Maio F, Secchi P, Vantini S, Zio E. Fuzzy C-Means Clustering of Signal Functional Principal Components for Post-Processing Dynamic Scenarios of a Nuclear Power Plant Digital Instrumentation and Control System. Ieee Transactions on Reliability. 2011;60:415-25.
  13. Moura MdC, Zio E, Lins ID, Droguett E. Failure and reliability prediction by support vector machines regression of time series data. Reliability Engineering & System Safety. 2011;96:1527-34.
  14. Zio E, Aven T. Uncertainties in smart grids behavior and modeling: What are the risks and vulnerabilities? How to analyze them? Energy Policy. 2011;39:6308-20.
  15. Zio E, Bazzo R. Level Diagrams analysis of Pareto Front for multiobjective system redundancy allocation. Reliability Engineering & System Safety. 2011;96:569-80.
  16. Zio E, Bazzo R. A clustering procedure for reducing the number of representative solutions in the Pareto Front of multiobjective optimization problems. European Journal of Operational Research. 2011;210:624-34.
  17. Zio E, Pedroni N. How to effectively compute the reliability of a thermal-hydraulic nuclear passive system. Nuclear Engineering and Design. 2011;241:310-27.
  18. Zio E, Peloni G. Particle filtering prognostic estimation of the remaining useful life of nonlinear components. Reliability Engineering & System Safety. 2011;96:403-9.
  19. Zio E, Sansavini G. Component Criticality in Failure Cascade Processes of Network Systems. Risk Analysis. 2011;31:1196-210.
  20. Zio E, Sansavini G. Modeling Interdependent Network Systems for Identifying Cascade-Safe Operating Margins. Ieee Transactions on Reliability. 2011;60:94-101.
  21. Zio E, Viadana G. Optimization of the inspection intervals of a safety system in a nuclear power plant by Multi-Objective Differential Evolution (MODE). Reliability Engineering & System Safety. 2011;96:1552-63.

2010

  1. Baraldi P, Cammi A, Mangili F, Zio E. An ensemble approach to sensor fault detection and signal reconstruction for nuclear system control. Annals of Nuclear Energy. 2010;37:778-90.
  2. Baraldi P, Cammi A, Mangili F, Zio EE. Local Fusion of an Ensemble of Models for the Reconstruction of Faulty Signals. Ieee Transactions on Nuclear Science. 2010;57:793-806.
  3. Baraldi P, Zio E. A Comparison Between Probabilistic and Dempster-Shafer Theory Approaches to Model Uncertainty Analysis in the Performance Assessment of Radioactive Waste Repositories. Risk Analysis. 2010;30:1139-56.
  4. Cadini F, Avram D, Cherubini A, De Sanctis J, Zio E, Guadagnini A, et al. AN INTEGRATED SIMULATION MODEL FOR THE PERFORMANCE ASSESSMENT OF A RADIOACTIVE WASTE REPOSITORY. Proceedings of the Xviii International Conference on Computational Methods in Water Resources (Cmwr 2010). 2010:413-20.
  5. Cadini F, Avram D, Zio E. System state estimation by particle filtering for fault diagnosis and prognosis. Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability. 2010;224:149-58.
  6. Cadini F, Avram D, Zio E, Luce A, Taglioni A. Preliminary evaluation of a radioactive waste repository safety performance by a Monte Carlo simulation-based reliability model. Kerntechnik. 2010;75:316-21.
  7. Cadini F, De Sanctis J, Girotti T, Zio E, Luce A, Taglioni A. Monte Carlo-based assessment of the safety performance of a radioactive waste repository. Reliability Engineering & System Safety. 2010;95:859-65.
  8. Cadini F, De Sanctis J, Girotti T, Zio E, Luce A, Taglioni A. Monte Carlo estimation of radionuclide release at a repository scale. Annals of Nuclear Energy. 2010;37:861-6.
  9. Cadini F, Zio E, Petrescu CA. Optimal expansion of an existing electrical power transmission network by multi-objective genetic algorithms. Reliability Engineering & System Safety. 2010;95:173-81.
  10. Pedroni N, Zio E, Apostolakis GE. Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal-hydraulic passive system. Reliability Engineering & System Safety. 2010;95:386-95.
  11. Podofillini L, Dang V, Zio E, Baraldi P, Librizzi M. Using Expert Models in Human Reliability Analysis-A Dependence Assessment Method Based on Fuzzy Logic. Risk Analysis. 2010;30:1277-97.
  12. Zio E, Apostolakis GE, Pedroni N. Quantitative functional failure analysis of a thermal-hydraulic passive system by means of bootstrapped Artificial Neural Networks. Annals of Nuclear Energy. 2010;37:639-49.
  13. Zio E, Bazzo R. Optimization of the test intervals of a nuclear safety system by generic algorithms, solution clustering and fuzzy preference assignment. Nuclear Engineering and Technology. 2010;42:414-25.
  14. Zio E, Bazzo R. Multiobjective optimization of the inspection intervals of a nuclear safety system: A clustering-based framework for reducing the Pareto Front. Annals of Nuclear Energy. 2010;37:798-812.
  15. Zio E, Di Maio F. A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system. Reliability Engineering & System Safety. 2010;95:49-57.
  16. Zio E, Di Maio F, Stasi M. A data-driven approach for predicting failure scenarios in nuclear systems. Annals of Nuclear Energy. 2010;37:482-91.
  17. Zio E, Di Maio F, Tong J. Safety margins confidence estimation for a passive residual heat removal system. Reliability Engineering & System Safety. 2010;95:828-36.
  18. Zio E, Pedroni N. An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems. Reliability Engineering & System Safety. 2010;95:1300-13.
  19. Zio E, Piccinelli R. Randomized flow model and centrality measure for electrical power transmission network analysis. Reliability Engineering & System Safety. 2010;95:379-85.

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