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Enrique Lopez Droguett
Enrique Lopez Droguett
Verified email at ucla.edu
Title
Cited by
Cited by
Year
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
4172017
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
2992011
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
1522018
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
1332019
Society for risk analysis glossary
T Aven, Y Ben-Haim, H Boje Andersen, T Cox, EL Droguett, M Greenberg, ...
Society for Risk Analysis, 3-9, 2018
1322018
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
1072011
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework
T Zhou, T Han, EL Droguett
Reliability Engineering & System Safety 224, 108525, 2022
1042022
Bayesian methodology for model uncertainty using model performance data
EL Droguett, A Mosleh
Risk Analysis: An International Journal 28 (5), 1457-1476, 2008
1042008
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
1032013
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
922012
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
772013
Automatic crack segmentation for UAV-assisted bridge inspection
YZ Ayele, M Aliyari, D Griffiths, EL Droguett
Energies 13 (23), 6250, 2020
762020
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
732020
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
732019
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
612004
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
582020
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
562016
Operation scheduling in a solar thermal system: A reinforcement learning-based framework
C Correa-Jullian, EL Droguett, JM Cardemil
Applied energy 268, 114943, 2020
472020
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
472020
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, 1951-1970, 2020
462020
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Articles 1–20