4 citations · 8 across the 6 of their papers we have counts for
6 papers
An Uncertainty-Informed Framework for Trustworthy Fault Diagnosis in Safety-Critical Applications
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh +1
There has been a growing interest in deep learning-based prognostic and health management (PHM) for building end-to-end maintenance decision support systems, especially due to the…
Big Machinery Data Preprocessing Methodology for Data-Driven Models in Prognostics and Health Management
Sergio Cofre-Martel, Enrique Lopez Droguett, Mohammad Modarres
Sensor monitoring networks and advances in big data analytics have guided the reliability engineering landscape to a new era of big machinery data. Low-cost sensors, along with the…
Physics-Informed Deep Learning: A Promising Technique for System Reliability Assessment
Taotao Zhou, Enrique Lopez Droguett, Ali Mosleh
Considerable research has been devoted to deep learning-based predictive models for system prognostics and health management in the reliability and safety community. However, there…
Semantic Segmentation of Periocular Near-Infra-Red Eye Images Under Alcohol Effects
Juan Tapia, Enrique Lopez Droguett, Andres Valenzuela +3
This paper proposes a new framework to detect, segment, and estimate the localization of the eyes from a periocular Near-Infra-Red iris image under alcohol consumption. The purpose…
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 Lopez Droguett, Mohammad Modarres
Deep learning (DL) has become an essential tool in prognosis and health management (PHM), commonly used as a regression algorithm for the prognosis of a system's behavior. One part…
A deep adversarial approach based on multi-sensor fusion for remaining useful life prognostics
David Verstraete, Enrique Droguett, Mohammad Modarres
Multi-sensor systems are proliferating the asset management industry and by proxy, the structural health management community. Asset managers are beginning to require a prognostics…