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 | 230 | 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 | 144 | 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 | 103 | 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 | 100 | 2009 |
Literature review of methods for representing uncertainty E Zio, N Pedroni Foundation for an Industrial Safety Culture, Toulouse, France, 2013 | 81 | 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 | 76 | 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 | 74 | 2012 |
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 |
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 | 67 | 2009 |
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 | 64 | 2017 |
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 | 63 | 2016 |
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 | 59 | 2013 |
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 | 57 | 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 N Pedroni, E Zio, GE Apostolakis Reliability Engineering & System Safety 95 (4), 386-395, 2010 | 55 | 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 | 53 | 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 | 52 | 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 | 40 | 2012 |