Research on Rolling Bearing Fault Diagnosis Method Based on ECA-MRANet

Research on Rolling Bearing Fault Diagnosis Method Based on ECA-MRANet

Most fault diagnosis models use a single input and have weak generalization performance. In order to obtain more fault information, a fault diagnosis method based on a Multi-channel Residual Attention Network with Efficient Channel Attention (ECA-MRANet) is proposed in this paper. In this method, th...

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Bibliographic Details
Main Authors:	Kai Wang, Bo Gao, Shijie Shan, Rong Wang, Xueyang Wang
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Applied Sciences
Subjects:	fault diagnosis attention mechanism feature fusion ECA-MRANet
Online Access:	https://www.mdpi.com/2076-3417/14/2/551

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