A fault diagnosis method based on Auxiliary Classifier Generative Adversarial Network for rolling bearing.

A fault diagnosis method based on Auxiliary Classifier Generative Adversarial Network for rolling bearing.

Rolling bearing fault diagnosis is one of the challenging tasks and hot research topics in the condition monitoring and fault diagnosis of rotating machinery. However, in practical engineering applications, the working conditions of rotating machinery are various, and it is difficult to extract the...

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Bibliographic Details
Main Authors:	Chunming Wu, Zhou Zeng
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2021-01-01
Series:	PLoS ONE
Online Access:	https://doi.org/10.1371/journal.pone.0246905

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