Bearing fault diagnosis method based on SAGAN and improved ResNet

Abstract Traditional rolling bearing fault diagnosis methods struggle to adaptively extract features under complex industrial environments, and obtaining large and rich fault data under real operating conditions is difficult and expensive. Aiming at these issues, a bearing fault diagnosis method bas...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Guoqiang Wang, Nianfeng Shi, Xianglan Yang, Zhichun Liu, Zhen Liu
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-09-01
Subjects:	Continuous wavelet transform Multi-head self-attention Deep residual network Fault diagnosis
Online Access:	https://doi.org/10.1038/s41598-025-16771-2