Enrique López Droguett
Orcid: 0000-0002-0790-8439
According to our database1,
Enrique López Droguett
authored at least 57 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
FS-SCF network: Neural network interpretability based on counterfactual generation and feature selection for fault diagnosis.
Expert Syst. Appl., March, 2024
2023
An uncertainty-informed framework for trustworthy fault diagnosis in safety-critical applications.
Reliab. Eng. Syst. Saf., 2023
A generic physics-informed neural network-based framework for reliability assessment of multi-state systems.
Reliab. Eng. Syst. Saf., 2023
Condition-based maintenance with reinforcement learning for refrigeration systems with selected monitored features.
Eng. Appl. Artif. Intell., 2023
Quantum-Based Combinatorial Optimization for Structural Health Monitoring Applications.
CoRR, 2023
Prognostics and Health Management of Rotating Machinery via Quantum Machine Learning.
IEEE Access, 2023
2022
Towards trustworthy machine fault diagnosis: A probabilistic Bayesian deep learning framework.
Reliab. Eng. Syst. Saf., 2022
Reliab. Eng. Syst. Saf., 2022
Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems.
Reliab. Eng. Syst. Saf., 2022
Human reliability analysis of conventional maritime pilotage operations supported by a prospective model.
Reliab. Eng. Syst. Saf., 2022
A novel Capsule Neural Network based model for drowsiness detection using electroencephalography signals.
Expert Syst. Appl., 2022
CoRR, 2022
Physics-informed deep learning: A promising technique for system reliability assessment.
Appl. Soft Comput., 2022
Temporal Variational Auto-Encoders for Semi-Supervised Remaining Useful Life and Fault Diagnosis.
IEEE Access, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management.
Sensors, 2021
Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks.
Sensors, 2021
Multi-unit nuclear power plant probabilistic risk assessment: A comprehensive survey.
Reliab. Eng. Syst. Saf., 2021
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications.
CoRR, 2021
IEEE Access, 2021
2020
A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics.
Sensors, 2020
Condition-Based Maintenance with Reinforcement Learning for Dry Gas Pipeline Subject to Internal Corrosion.
Sensors, 2020
Reliab. Eng. Syst. Saf., 2020
A human reliability analysis methodology for oil refineries and petrochemical plants operation: Phoenix-PRO qualitative framework.
Reliab. Eng. Syst. Saf., 2020
Reliability data analysis of systems in the wear-out phase using a (corrected) <i>q</i>-Exponential likelihood.
Reliab. Eng. Syst. Saf., 2020
Enhancing a machine learning binarization framework by perturbation operators: analysis on the multidimensional knapsack problem.
Int. J. Mach. Learn. Cybern., 2020
Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis.
CoRR, 2020
Capsule Neural Networks for structural damage localization and quantification using transmissibility data.
Appl. Soft Comput., 2020
2019
Multi-unit risk aggregation with consideration of uncertainty and bias in risk metrics.
Reliab. Eng. Syst. Saf., 2019
2018
Reliab. Eng. Syst. Saf., 2018
Entropy, 2018
Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications.
Entropy, 2018
2017
On the q-Weibull distribution for reliability applications: An adaptive hybrid artificial bee colony algorithm for parameter estimation.
Reliab. Eng. Syst. Saf., 2017
Analysis of extended warranties for medical equipment: A Stackelberg game model using priority queues.
Reliab. Eng. Syst. Saf., 2017
Stress-Strength Reliability Analysis with Extreme Values based on <i>q</i>-Exponential Distribution.
Qual. Reliab. Eng. Int., 2017
Int. J. Prod. Res., 2017
Impact Location and Quantification on an Aluminum Sandwich Panel Using Principal Component Analysis and Linear Approximation with Maximum Entropy.
Entropy, 2017
Modal Strain Energy-Based Debonding Assessment of Sandwich Panels Using a Linear Approximation with Maximum Entropy.
Entropy, 2017
2016
Corrigendum to "Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model" [Reliab. Eng. Syst. Saf. 150(2016) 136-146].
Reliab. Eng. Syst. Saf., 2016
Estimation of expected number of accidents and workforce unavailability through Bayesian population variability analysis and Markov-based model.
Reliab. Eng. Syst. Saf., 2016
2015
A Multi-Objective Genetic Algorithm for determining efficient Risk-Based Inspection programs.
Reliab. Eng. Syst. Saf., 2015
Computing confidence and prediction intervals of industrial equipment degradation by bootstrapped support vector regression.
Reliab. Eng. Syst. Saf., 2015
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015
2013
Selection of security system design via games of imperfect information and multi-objective genetic algorithm.
Reliab. Eng. Syst. Saf., 2013
NSGA-II-trained neural network approach to the estimation of prediction intervals of scale deposition rate in oil & gas equipment.
Expert Syst. Appl., 2013
Prediction of sea surface temperature in the tropical Atlantic by support vector machines.
Comput. Stat. Data Anal., 2013
2012
Qual. Reliab. Eng. Int., 2012
2011
Redundancy allocation problems considering systems with imperfect repairs using multi-objective genetic algorithms and discrete event simulation.
Simul. Model. Pract. Theory, 2011
Failure and reliability prediction by support vector machines regression of time series data.
Reliab. Eng. Syst. Saf., 2011
2009
Mathematical formulation and numerical treatment based on transition frequency densities and quadrature methods for non-homogeneous semi-Markov processes.
Reliab. Eng. Syst. Saf., 2009
2008
A semi-Markov model with Bayesian belief network based human error probability for availability assessment of downhole optical monitoring systems.
Simul. Model. Pract. Theory, 2008
2004
Reliab. Eng. Syst. Saf., 2004