E. López Droguett

发表

Toward a framework for risk monitoring of complex engineering systems with online operational data: A deep learning-based solution

K. Groth, R. Moradi, Andrés Ruiz-Tagle Palazuelos, 2022, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

Remaining Useful Life Estimation through Deep Learning Partial Differential Equation Models: A Framework for Degradation Dynamics Interpretation Using Latent Variables

M. Modarres, E. López Droguett, Sergio Cofre-Martel, 2021, Shock and Vibration.

A novel quantitative ecological and microbial risk assessment methodology: theory and practice

E. López Droguett, Heitor Oliveira Duarte, Márcio José das Chagas Moura, 2020, Human and Ecological Risk Assessment: An International Journal.

Characterization of the modal response using Deep recurrent neural networks

Wladimir M. González, R. Boroschek, E. López Droguett, 2022, Engineering Structures.

Condition-based maintenance with reinforcement learning for refrigeration systems with selected monitored features

E. Droguett, A. Ochoa, Gustavo de Novaes Pires Leite, 2023, Eng. Appl. Artif. Intell..

Impact identification using nonlinear dimensionality reduction and supervised learning

Enrique López Droguett, Alejandro Ortiz-Bernardin, Viviana Meruane, 2019, Smart Materials and Structures.

Exploring Quantum Machine Learning and Feature Reduction Techniques for Wind Turbine Pitch Fault Detection

Gustavo de Novaes Pires Leite, E. López Droguett, Sergio Cofre-Martel, 2022, Energies.

Remaining Useful Life Estimation by Empirical Mode Decomposition and Support Vector Machine

Isis Didier Lins, Enrique Lopez Droguett, E. López Droguett, 2016, IEEE Latin America Transactions.

Quantum Inference for Reliability Assessment

E. López Droguett, Gabrieln San Martí Silva, 2023, 2023 Annual Reliability and Maintainability Symposium (RAMS).

Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data

Philip Kobrich, Enrique López Droguett, Viviana Meruane, 2019, Shock and Vibration.

Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis

Márcio das Chagas Moura, Gabriel San Martin, Enrique López Droguett, 2018, Structural Health Monitoring.

Semantic segmentation model for crack images from concrete bridges for mobile devices

Enrique López Droguett, Rubén Boroschek, Juan Tapia, 2020, Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability.

Estimating damage size and remaining useful life in degraded structures using deep learning-based multi-source data fusion

Mohammad Modarres, Shapour Azarm, Amin Aria, 2020 .

Assessment of Deep Learning Algorithms for Fault Diagnosis of Solar Thermal Systems

J. Cardemil, M. Behzad, E. López Droguett, 2019, Proceedings of the ISES Solar World Congress 2019.

Bayesian Treatment of Model Uncertainty for Partially Applicable Models

Ali Mosleh, Enrique López Droguett, A. Mosleh, 2014, Risk analysis : an official publication of the Society for Risk Analysis.

Non-Stationary Demand Forecasting Based on Empirical Mode Decomposition and Support Vector Machines

Italla Dayanna da Silva, Marcio das Chagas Moura, Isis Didier Lins, 2017, IEEE Latin America Transactions.

Exploiting the Capabilities of Bayesian Networks for Engineering Risk Assessment: Causal Reasoning through Interventions

K. Groth, E. López Droguett, Andres Ruiz-Tagle, 2021, Risk analysis : an official publication of the Society for Risk Analysis.