A Deep-Learning-Based Fault Diagnosis Method of Industrial Bearings Using Multi-Source Information

A Deep-Learning-Based Fault Diagnosis Method of Industrial Bearings Using Multi-Source Information

In recent years, the industrial motor bearing fault diagnosis method based on deep learning and multi-source information fusion has made some research progress, and research results show that the uncertainty of noise interference and signal measurement error has been improved to a certain extent. Ho...

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Bibliographic Details
Main Authors:	Xiaolu Wang, Aohan Li, Guangjie Han
Format:	Article
Language:	English
Published:	MDPI AG 2023-01-01
Series:	Applied Sciences
Subjects:	industrial motors fault diagnosis industrial automation deep learning
Online Access:	https://www.mdpi.com/2076-3417/13/2/933

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