9 citations · 13 across the 3 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.SP2020★ 9 cited
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…