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...

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Veröffentlicht in:	IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society S. 495 - 500
Hauptverfasser:	Verma, Sagar, Henwood, Nicolas, Castella, Marc, Jebai, Al Kassem, Pesquet, Jean-Christophe
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 18.10.2020
Schlagworte:	deep learning induction motor Induction motors Mathematical model Measurement Neural networks time series Torque Training Trajectory
ISSN:	2577-1647
Online-Zugang:	Volltext
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