MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions

MCBA-MVACGAN: A Novel Fault Diagnosis Method for Rotating Machinery Under Small Sample Conditions

In complex industrial scenarios, high-quality fault data of rotating machinery are scarce and costly to collect. Therefore, small sample fault diagnosis needs further research. To solve this problem, in this work is proposed a minimum variance auxiliary classifier generation adversarial network base...

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Bibliographic Details
Main Authors:	Wenhan Huang, Xiangfeng Zhang, Hong Jiang, Zhenfa Shao, Yu Bai
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Series:	Machines
Subjects:	fault diagnosis generative adversarial network small sample attention mechanism minimum variance
Online Access:	https://www.mdpi.com/2075-1702/13/1/71
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