| 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 | 215 | 2011 |
| Deep learning enabled fault diagnosis using time-frequency image analysis of rolling element bearings D Verstraete, A Ferrada, EL Droguett, V Meruane, M Modarres Shock and Vibration 2017, 2017 | 166 | 2017 |
| Bayesian methodology for model uncertainty using model performance data EL Droguett, A Mosleh Risk Analysis: An International Journal 28 (5), 1457-1476, 2008 | 96 | 2008 |
| Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation ID Lins, EL Droguett Simulation Modelling Practice and Theory 19 (1), 362-381, 2011 | 78 | 2011 |
| A particle swarm‐optimized support vector machine for reliability prediction ID Lins, MDC Moura, E Zio, EL Droguett Quality and Reliability Engineering International 28 (2), 141-158, 2012 | 73 | 2012 |
| NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment R Ak, Y Li, V Vitelli, E Zio, EL Droguett, CMC Jacinto Expert Systems with Applications 40 (4), 1205-1212, 2013 | 65 | 2013 |
| The combined use of data and expert estimates in population variability analysis EL Droguett, F Groen, A Mosleh Reliability Engineering & System Safety 83 (3), 311-321, 2004 | 46 | 2004 |
| A prognostics approach based on the evolution of damage precursors using dynamic Bayesian networks E Rabiei, EL Droguett, M Modarres Advances in Mechanical Engineering 8 (9), 1687814016666747, 2016 | 43 | 2016 |
| Prediction of sea surface temperature in the tropical Atlantic by support vector machines ID Lins, M Araujo, M das Chagas Moura, MA Silva, EL Droguett Computational Statistics & Data Analysis 61, 187-198, 2013 | 42 | 2013 |
| Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis G San Martin, E López Droguett, V Meruane, M das Chagas Moura Structural Health Monitoring 18 (4), 1092-1128, 2019 | 41 | 2019 |
| Convolutional neural networks for automated damage recognition and damage type identification C Modarres, N Astorga, EL Droguett, V Meruane Structural Control and Health Monitoring 25 (10), e2230, 2018 | 39 | 2018 |
| Multiobjective optimization of availability and cost in repairable systems design via genetic algorithms and discrete event simulation ID Lins, EL Droguett Pesquisa Operacional 29 (1), 43-66, 2009 | 37 | 2009 |
| Methodology for the treatment of model uncertainty EL Droguett Ph. D. Thesis, 1999 | 29 | 1999 |
| Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression ID Lins, EL Droguett, M das Chagas Moura, E Zio, CM Jacinto Reliability Engineering & System Safety 137, 120-128, 2015 | 26 | 2015 |
| A multi-objective genetic algorithm for determining efficient risk-based inspection programs M das Chagas Moura, ID Lins, EL Droguett, RF Soares, R Pascual Reliability Engineering & System Safety 133, 253-265, 2015 | 25 | 2015 |
| A semi-Markov model with Bayesian belief network based human error probability for availability assessment of downhole optical monitoring systems EL Droguett, M das Chagas Moura, CM Jacinto, MF Silva Jr Simulation Modelling Practice and Theory 16 (10), 1713-1727, 2008 | 25 | 2008 |
| Society for risk analysis glossary T Aven, Y Ben-Haim, H Boje Andersen, T Cox, EL Droguett, M Greenberg, ... Society for Risk Analysis, August, 2018 | 24 | 2018 |
| A methodology for risk analysis based on hybrid bayesian networks: application to the regasification system of liquefied natural gas onboard a floating storage and … MR Martins, AM Schleder, EL Droguett Risk analysis 34 (12), 2098-2120, 2014 | 24 | 2014 |
| Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes M das Chagas Moura, EL Droguett Reliability Engineering & System Safety 94 (2), 342-349, 2009 | 23 | 2009 |
| Deep semi-supervised generative adversarial fault diagnostics of rolling element bearings DB Verstraete, EL Droguett, V Meruane, M Modarres, A Ferrada Structural Health Monitoring 19 (2), 390-411, 2020 | 21 | 2020 |
