| 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 | 2063 | 2018 |
| Reliability engineering: Old problems and new challenges E Zio Reliability engineering & system safety 94 (2), 125-141, 2009 | 1170 | 2009 |
| Monte carlo simulation: The method E Zio, E Zio The Monte Carlo simulation method for system reliability and risk analysis …, 2013 | 787 | 2013 |
| 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 | 543 | 2021 |
| 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 | 528 | 2002 |
| Challenges in the vulnerability and risk analysis of critical infrastructures E Zio Reliability Engineering & System Safety 152, 137-150, 2016 | 502 | 2016 |
| Prognostics and Health Management (PHM): Where are we and where do we (need to) go in theory and practice E Zio Reliability Engineering & System Safety 218, 108119, 2022 | 469 | 2022 |
| The future of risk assessment E Zio Reliability Engineering & System Safety 177, 176-190, 2018 | 431 | 2018 |
| 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 | 429 | 2011 |
| 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 | 421 | 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 | 404 | 2010 |
| An introduction to the basics of reliability and risk analysis E Zio World scientific, 2007 | 403 | 2007 |
| 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 | 384 | 2019 |
| Failure and reliability prediction by support vector machines regression of time series data M das Chagas Moura, E Zio, ID Lins, E Droguett Reliability Engineering & System Safety 96 (11), 1527-1534, 2011 | 321 | 2011 |
| Multiobjective optimization by genetic algorithms: application to safety systems PG Busacca, M Marseguerra, E Zio Reliability Engineering & System Safety 72 (1), 59-74, 2001 | 319 | 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 | 316 | 2000 |
| Remaining useful life prediction using multi-scale deep convolutional neural network H Li, W Zhao, Y Zhang, E Zio Applied Soft Computing 89, 106113, 2020 | 310 | 2020 |
| Challenges to IoT-enabled predictive maintenance for industry 4.0 M Compare, P Baraldi, E Zio IEEE Internet of Things Journal 7 (5), 4585-4597, 2019 | 308 | 2019 |
| Reinforcement learning for microgrid energy management E Kuznetsova, YF Li, C Ruiz, E Zio, G Ault, K Bell Energy 59, 133-146, 2013 | 293 | 2013 |
| 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 | 287 | 2002 |