Enrique Lopez Droguett
Enrique Lopez Droguett
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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
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
Bayesian methodology for model uncertainty using model performance data
EL Droguett, A Mosleh
Risk Analysis: An International Journal 28 (5), 1457-1476, 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
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
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
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
Society for risk analysis glossary
T Aven, Y Ben-Haim, H Boje Andersen, T Cox, EL Droguett, M Greenberg, ...
Society for Risk Analysis, 2018
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
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
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
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
Deep convolutional neural network-based structural damage localization and quantification using transmissibility data
S Cofre-Martel, P Kobrich, E Lopez Droguett, V Meruane
Shock and Vibration 2019, 2019
Multiobjective optimization of availability and cost in repairable systems design via genetic algorithms and discrete event simulation
ID Lins, EL Droguett
Pesquisa Operacional 29, 43-66, 2009
Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem
J García, E Lalla-Ruiz, S Voß, EL Droguett
International Journal of Machine Learning and Cybernetics 11 (9), 1951-1970, 2020
A novel deep capsule neural network for remaining useful life estimation
A Ruiz-Tagle Palazuelos, EL Droguett, R Pascual
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2020
Assessment of deep learning techniques for prognosis of solar thermal systems
C Correa-Jullian, JM Cardemil, EL Droguett, M Behzad
Renewable Energy 145, 2178-2191, 2020
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
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
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
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