| Artificial intelligence for fault diagnosis of rotating machinery: A review R Liu, B Yang, E Zio, X Chen Mechanical Systems and Signal Processing 108, 33-47, 2018 | 1636 | 2018 |
| Reliability engineering: Old problems and new challenges E Zio Reliability engineering & system safety 94 (2), 125-141, 2009 | 1093 | 2009 |
| Monte carlo simulation: The method E Zio, E Zio The Monte Carlo simulation method for system reliability and risk analysis …, 2013 | 696 | 2013 |
| Condition-based maintenance optimization by means of genetic algorithms and Monte Carlo simulation M Marseguerra, E Zio, L Podofillini Reliability Engineering & System Safety 77 (2), 151-165, 2002 | 509 | 2002 |
| Challenges in the vulnerability and risk analysis of critical infrastructures E Zio Reliability Engineering & System Safety 152, 137-150, 2016 | 429 | 2016 |
| Particle filtering prognostic estimation of the remaining useful life of nonlinear components E Zio, G Peloni Reliability Engineering & System Safety 96 (3), 403-409, 2011 | 408 | 2011 |
| A new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer A Altan, S Karasu, E Zio Applied Soft Computing 100, 106996, 2021 | 397 | 2021 |
| Some considerations on the treatment of uncertainties in risk assessment for practical decision making T Aven, E Zio Reliability Engineering & System Safety 96 (1), 64-74, 2011 | 397 | 2011 |
| A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system E Zio, F Di Maio Reliability Engineering & System Safety 95 (1), 49-57, 2010 | 378 | 2010 |
| An introduction to the basics of reliability and risk analysis E Zio World scientific, 2007 | 378 | 2007 |
| The future of risk assessment E Zio Reliability Engineering & System Safety 177, 176-190, 2018 | 336 | 2018 |
| Multiobjective optimization by genetic algorithms: application to safety systems PG Busacca, M Marseguerra, E Zio Reliability Engineering & System Safety 72 (1), 59-74, 2001 | 308 | 2001 |
| Optimizing maintenance and repair policies via a combination of genetic algorithms and Monte Carlo simulation M Marseguerra, E Zio Reliability Engineering & System Safety 68 (1), 69-83, 2000 | 301 | 2000 |
| Simulation modelling of repairable multi-component deteriorating systems for ‘on condition’maintenance optimisation J Barata, CG Soares, M Marseguerra, E Zio Reliability Engineering & System Safety 76 (3), 255-264, 2002 | 280 | 2002 |
| Remaining useful life prediction based on a double-convolutional neural network architecture B Yang, R Liu, E Zio IEEE Transactions on Industrial Electronics 66 (12), 9521-9530, 2019 | 269 | 2019 |
| Uncertainty in risk assessment: the representation and treatment of uncertainties by probabilistic and non-probabilistic methods T Aven, P Baraldi, R Flage, E Zio John Wiley & Sons, 2013 | 265 | 2013 |
| Basics of the Monte Carlo method with application to system reliability M Marseguerra, E Zio LiLoLe-Verlag GmbH, 2002 | 249 | 2002 |
| Reinforcement learning for microgrid energy management E Kuznetsova, YF Li, C Ruiz, E Zio, G Ault, K Bell Energy 59, 133-146, 2013 | 243 | 2013 |
| An improved adaptive kriging-based importance technique for sampling multiple failure regions of low probability F Cadini, F Santos, E Zio Reliability Engineering & System Safety 131, 109-117, 2014 | 242 | 2014 |
| An integrated framework of agent-based modelling and robust optimization for microgrid energy management E Kuznetsova, YF Li, C Ruiz, E Zio Applied Energy 129, 70-88, 2014 | 238 | 2014 |
