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IInception-CBAM-IBiGRU based fault diagnosis method for asynchronous motors

Abstract Aiming at the problems of insufficient extraction of asynchronous motor fault features by traditional deep learning algorithms and poor diagnosis of asynchronous motor faults in robust noise environments, this paper proposes an end-to-end fault diagnosis method for asynchronous motors based...

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Autores principales: Zhengting Li, Peiliang Wang, Zeyu yang, Xiangyang Li, Ruining Jia
Formato: Artigo
Lenguaje:Inglês
Publicado: Nature Portfolio 2024-03-01
Colección:Scientific Reports
Acceso en línea:https://doi.org/10.1038/s41598-024-55367-0
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