| Resilience-Based Component Importance Measures for Critical Infrastructure Network Systems YP Fang, N Pedroni, E Zio IEEE Transactions on Reliability 6 (2), 502-512, 2016 | 243 | 2016 |
| Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment Z Wang, N Pedroni, I Zentner, E Zio Engineering Structures 162, 213-225, 2018 | 158 | 2018 |
| A memetic evolutionary multi-objective optimization method for environmental power unit commitment YF Li, N Pedroni, E Zio IEEE transactions on power systems 28 (3), 2660-2669, 2013 | 106 | 2013 |
| Estimation of the functional failure probability of a thermal–hydraulic passive system by subset simulation E Zio, N Pedroni Nuclear Engineering and Design 239 (3), 580-599, 2009 | 105 | 2009 |
| Literature review of methods for representing uncertainty E Zio, N Pedroni Foundation for an Industrial Safety Culture, Toulouse, France, 2013 | 86 | 2013 |
| Selecting features for nuclear transients classification by means of genetic algorithms E Zio, P Baraldi, N Pedroni IEEE transactions on nuclear science 53 (3), 1479-1493, 2006 | 77 | 2006 |
| Optimization of Cascade-Resilient Electrical Infrastructures and its Validation by Power Flow Modelling YP Fang, N Pedroni, E Zio Risk Analysis, an International Journal 35 (4), pp. 594–607, 2015 | 75 | 2015 |
| Monte Carlo simulation-based sensitivity analysis of the model of a thermal–hydraulic passive system E Zio, N Pedroni Reliability Engineering & System Safety 107, 90-106, 2012 | 72 | 2012 |
| Optimal power system generation scheduling by multi-objective genetic algorithms with preferences E Zio, P Baraldi, N Pedroni Reliability Engineering & System Safety 94 (2), 432-444, 2009 | 69 | 2009 |
| Building confidence in the reliability assessment of thermal-hydraulic passive systems E Zio, N Pedroni Reliability Engineering & System Safety 94 (2), 268-281, 2009 | 69 | 2009 |
| Evaluation of the robustness of critical infrastructures by Hierarchical Graph representation, clustering and Monte Carlo simulation E Ferrario, N Pedroni, E Zio Reliability Engineering & System Safety 155, 78-96, 2016 | 66 | 2016 |
| Bootstrapped Artificial Neural Networks for the seismic analysis of structural systems E Ferrario, N Pedroni, E Zio, F Lopez-Caballero Structural Safety 67, 70-84, 2017 | 65 | 2017 |
| An optimized Line Sampling method for the estimation of the failure probability of nuclear passive systems E Zio, N Pedroni Reliability Engineering & System Safety 95 (12), 1300-1313, 2010 | 60 | 2010 |
| Hierarchical propagation of probabilistic and non-probabilistic uncertainty in the parameters of a risk model N Pedroni, E Zio, E Ferrario, A Pasanisi, M Couplet Computers & Structures 126, 199-213, 2013 | 58 | 2013 |
| Comparison of bootstrapped artificial neural networks and quadratic response surfaces for the estimation of the functional failure probability of a thermal–hydraulic passive system N Pedroni, E Zio, GE Apostolakis Reliability Engineering & System Safety 95 (4), 386-395, 2010 | 58 | 2010 |
| An Adaptive Metamodel-Based Subset Importance Sampling approach for the assessment of the functional failure probability of a thermal-hydraulic passive system N Pedroni, E Zio Applied Mathematical Modelling 48, 269-288, 2017 | 55 | 2017 |
| How to effectively compute the reliability of a thermal–hydraulic nuclear passive system E Zio, N Pedroni Nuclear Engineering and Design 241 (1), 310-327, 2011 | 53 | 2011 |
| Subset Simulation of a reliability model for radioactive waste repository performance assessment F Cadini, D Avram, N Pedroni, E Zio Reliability Engineering & System Safety 100, 75-83, 2012 | 49 | 2012 |
| Failure and reliability predictions by infinite impulse response locally recurrent neural networks E Zio, M Broggi, LR Golea, N Pedroni Chemical engineering transactions 26, 117-122, 2012 | 44 | 2012 |
| Overview of risk-informed decision-making processes E Zio, N Pedroni Foundation for an Industrial Safety Culture, Toulouse, France, 2012 | 43 | 2012 |
Yi-Ping FangAssociate Professor, HDR, Industrial Engineering, CentraleSupelec, Universite Paris-SaclayПотвърден имейл адрес: centralesupelec.fr
