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...

Full description

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

Internet

https://www.mdpi.com/2076-3417/14/2/551

Similar Items