Neural Networks based Speed-Torque Estimators for Induction Motors and Performance Metrics

This paper focuses on the quantitative analysis of deep neural networks used in data-driven modeling of induction motor dynamics. With the availability of a large amount of data generated by industrial sensor networks, it is now possible to train deep neural networks. Recently researchers have start... View More