4 citations · 8 across the 6 of their papers we have counts for
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eess.SP2020★ 4 cited
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…
eess.SP2019★ 1 cited
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…