A Survey on Machine Learning Applied to Dynamic Physical Systems
arXiv:2009.09719v26 citations
AI Analysis
It provides a synthesis of existing methods for researchers and practitioners in electric motor applications, but is incremental as it is a survey.
This survey reviews recent advancements in applying machine learning to model nonlinear dynamic physical systems, specifically focusing on electric motors for control and fault detection.
This survey is on recent advancements in the intersection of physical modeling and machine learning. We focus on the modeling of nonlinear systems which are closer to electric motors. Survey on motor control and fault detection in operation of electric motors has been done.