Uncovering the Underlying Physics of Degrading System Behavior Through a Deep Neural Network Framework: The Case of Remaining Useful Life Prognosis. - Sergio Cofre-Martel; Enrique López Droguett; Mohammad Modarres (CoRR, 2020)

Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management. - Sergio Cofre-Martel; Enrique López Droguett; Mohammad Modarres (Sensors, 2021)

Integration of deep learning and Bayesian networks for condition and operation risk monitoring of complex engineering systems. - Ramin Moradi; Sergio Cofre-Martel; Enrique López Droguett; Mohammad Modarres; Katrina M. Groth (Reliab. Eng. Syst. Saf., 2022)

A Physics-Informed Neural Network Framework for Big Machinery Data in Prognostics and Health Management for Complex Engineering Systems. - Sergio Cofre-Martel (2022)