Multiple Working Condition Bearing Fault Diagnosis Method Based on Channel Segmentation Improved Residual Network

Multiple Working Condition Bearing Fault Diagnosis Method Based on Channel Segmentation Improved Residual Network

To address the problems of poor model diagnosis and poor noise immunity caused by inconsistent distribution of bearing fault features and difficulty in feature extraction in multi-condition environments, a multi-condition bearing fault diagnosis method based on a channel segmentation improved residu...

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Bibliographic Details
Main Authors: Yuanyuan Jiang, Jinyang Xie, Linghui Meng, Hanguang Jia
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Electronics
Subjects:
multiple working conditions
bearing fault diagnosis
channel segmentation mechanism
convolutional neural network
Online Access:https://www.mdpi.com/2079-9292/12/1/145

Internet

https://www.mdpi.com/2079-9292/12/1/145

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