Deep Residual Network Combined with Transfer Learning Based Fault Diagnosis for Rolling Bearing

Deep Residual Network Combined with Transfer Learning Based Fault Diagnosis for Rolling Bearing

Fault diagnosis of rolling bearings is significant for mechanical equipment operation and maintenance. Presently, the deep convolutional neural network (CNN) is increasingly used for fault diagnosis of rolling bearings, but CNN has challenges with incomplete training and lengthy training times. This...

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Bibliographic Details
Main Authors: Jianmin Zhou, Xiaotong Yang, Jiahui Li
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Applied Sciences
Subjects:
bearing fault diagnosis
transfer learning
deep residual network
time-frequency image
Online Access:https://www.mdpi.com/2076-3417/12/15/7810

Internet

https://www.mdpi.com/2076-3417/12/15/7810

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