most citedReal-Time Model Calibration with Deep Reinforcement Learning

12 citations · 12 across the 1 of their papers we have counts for

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eess.SY2020

Fusing Physics-based and Deep Learning Models for Prognostics

Manuel Arias Chao, Chetan Kulkarni, Kai Goebel +1

Physics-based and data-driven models for remaining useful lifetime (RUL) prediction typically suffer from two major challenges that limit their applicability to complex real-world…

eess.SY2019

Hybrid deep fault detection and isolation: Combining deep neural networks and system performance models

Manuel Arias Chao, Chetan Kulkarni, Kai Goebel +1

With the increased availability of condition monitoring data and the increased complexity of explicit system physics-based models, the application of data-driven approaches for fau…