39 citations · 205 across the 19 of their papers we have counts for
3 papers · 1 filter
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…
Neural Network and Particle Filtering: A Hybrid Framework for Crack Propagation Prediction
Seyed Fouad Karimian, Ramin Moradi, Sergio Cofre-Martel +2
Crack detection, length estimation, and Remaining Useful Life (RUL) prediction are among the most studied topics in reliability engineering. Several research efforts have studied p…
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…