| 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 | 426 | 2010 |
| Entropy-driven Monte Carlo simulation method for approximating the survival signature of complex infrastructures F Di Maio, C Pettorossi, E Zio Reliability Engineering & System Safety 231, 108982, 2023 | 184 | 2023 |
| Combining relevance vector machines and exponential regression for bearing residual life estimation F Di Maio, KL Tsui, E Zio Mechanical systems and signal processing 31, 405-427, 2012 | 181 | 2012 |
| Hierarchical k-nearest neighbours classification and binary differential evolution for fault diagnostics of automotive bearings operating under variable conditions P Baraldi, F Cannarile, F Di Maio, E Zio Engineering Applications of Artificial Intelligence 56, 1-13, 2016 | 159 | 2016 |
| Fault detection in nuclear power plants components by a combination of statistical methods F Di Maio, P Baraldi, E Zio, R Seraoui IEEE Transactions on Reliability 62 (4), 833-845, 2013 | 155 | 2013 |
| A particle filtering and kernel smoothing-based approach for new design component prognostics Y Hu, P Baraldi, F Di Maio, E Zio Reliability Engineering & System Safety 134, 19-31, 2015 | 154 | 2015 |
| Efficient generation of energetic ions in multi-ion plasmas by radio-frequency heating YO Kazakov, J Ongena, JC Wright, SJ Wukitch, E Lerche, MJ Mantsinen, ... Nature Physics 13 (10), 973-978, 2017 | 147 | 2017 |
| Fatigue crack growth estimation by relevance vector machine E Zio, F Di Maio Expert Systems with Applications 39 (12), 10681-10692, 2012 | 113 | 2012 |
| Remaining useful life estimation in heterogeneous fleets working under variable operating conditions S Al-Dahidi, F Di Maio, P Baraldi, E Zio Reliability Engineering & System Safety 156, 109-124, 2016 | 90 | 2016 |
| A data-driven approach for predicting failure scenarios in nuclear systems E Zio, F Di Maio, M Stasi Annals of Nuclear Energy 37 (4), 482-491, 2010 | 90 | 2010 |
| Online performance assessment method for a model-based prognostic approach Y Hu, P Baraldi, F Di Maio, E Zio IEEE Transactions on reliability 65 (2), 718-735, 2015 | 85 | 2015 |
| Robust signal reconstruction for condition monitoring of industrial components via a modified Auto Associative Kernel Regression method P Baraldi, F Di Maio, P Turati, E Zio Mechanical Systems and Signal Processing 60, 29-44, 2015 | 72 | 2015 |
| Investigation of polycyclic aromatic hydrocarbons (PAHs) formed in three-phase products from the pyrolysis of various wastewater sewage sludge Y Hu, Y Xia, F Di Maio, F Yu, W Yu Journal of Hazardous Materials 389, 122045, 2020 | 69 | 2020 |
| Comparison of data-driven reconstruction methods for fault detection P Baraldi, F Di Maio, D Genini, E Zio IEEE Transactions on Reliability 64 (3), 852-860, 2015 | 69 | 2015 |
| Processing dynamic scenarios from a reliability analysis of a nuclear power plant digital instrumentation and control system E Zio, F Di Maio Annals of Nuclear Energy 36 (9), 1386-1399, 2009 | 69 | 2009 |
| Unsupervised clustering for fault diagnosis in nuclear power plant components P Baraldi, F Di Maio, E Zio International Journal of Computational Intelligence Systems 6 (4), 764-777, 2013 | 63 | 2013 |
| Safety margins confidence estimation for a passive residual heat removal system E Zio, F Di Maio, J Tong Reliability Engineering & System Safety 95 (8), 828-836, 2010 | 63 | 2010 |
| Quantifying uncertainties in the estimation of safety parameters by using bootstrapped artificial neural networks P Secchi, E Zio, F Di Maio Annals of Nuclear Energy 35 (12), 2338-2350, 2008 | 63 | 2008 |
| Ensemble-approaches for clustering health status of oil sand pumps F Di Maio, J Hu, P Tse, M Pecht, K Tsui, E Zio Expert Systems with applications 39 (5), 4847-4859, 2012 | 62 | 2012 |
| A Monte Carlo-based exploration framework for identifying components vulnerable to cyber threats in nuclear power plants W Wang, A Cammi, F Di Maio, S Lorenzi, E Zio Reliability Engineering & System Safety 175, 24-37, 2018 | 58 | 2018 |
Piero BaraldiPolitecnico di MilanoVerified email at polimi.it
