A Deep Adversarial Approach Based on Multi-Sensor Fusion for Semi-Supervised Remaining Useful Life Prognostics

por Verstraete, David, Droguett, Enrique, Modarres, Mohammad
Publicado 2019

Fully Adaptive Particle Filtering Algorithm for Damage Diagnosis and Prognosis

por Rabiei, Elaheh, Droguett, Enrique Lopez, Modarres, Mohammad
Publicado 2018

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management

por Cofre-Martel, Sergio, Lopez Droguett, Enrique, Modarres, Mohammad
Publicado 2021

Towards Interpretable Deep Learning: A Feature Selection Framework for Prognostics and Health Management Using Deep Neural Networks

por Figueroa Barraza, Joaquín, López Droguett, Enrique, Martins, Marcelo Ramos
Publicado 2021

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

por Ruiz‐Tagle, Andres, Lopez Droguett, Enrique, Groth, Katrina M.
Publicado 2021

Condition-Based Maintenance with Reinforcement Learning for Dry Gas Pipeline Subject to Internal Corrosion

por Mahmoodzadeh, Zahra, Wu, Keo-Yuan, Lopez Droguett, Enrique, Mosleh, Ali
Publicado 2020

Combining Generalized Renewal Processes with Non-Extensive Entropy-Based q-Distributions for Reliability Applications

por Lins, Isis Didier, Moura, Márcio das Chagas, Droguett, Enrique López, Corrêa, Thaís Lima
Publicado 2018

Embedding resilience in the design of the electricity supply for industrial clients

por Moura, Márcio das Chagas, Diniz, Helder Henrique Lima, Droguett, Enrique López, da Cunha, Beatriz Sales, Lins, Isis Didier, Simoni, Vicente Ribeiro
Publicado 2017