Bearing Fault Detection and Classification Based on Temporal Convolutions and LSTM Network in Induction Machine

One of the critical components in most electromechanical systems are the bearing system. Therefore, a proper condition monitoring method that can classify the type and the severity of electrical machine faults in different load levels is crucial to avoid unwanted downtime and loss of operation. Non-...

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Bibliografische Detailangaben

Hauptverfasser:	Mohammad Hoseintabar Marzebali, Saeed Hasani Borzadaran, Hoda Mashayekhi, Valiollah Mashayekhi
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Amirkabir University of Technology 2022-06-01
Schriftenreihe:	AUT Journal of Electrical Engineering
Schlagworte:	fault diagnosis induction motor ball bearing condition monitoring deep learning
Online-Zugang:	https://eej.aut.ac.ir/article_4612_af01e06a25ac223f444d5ee134923a79.pdf
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