An Intelligent Multi-Local Model Bearing Fault Diagnosis Method Using Small Sample Fusion

It is essential to accurately diagnose bearing faults to avoid property losses or casualties in the industry caused by motor failures. Recently, the methods of fault diagnosis for bearings using deep learning methods have improved the safety of motor operations in a reliable and intelligent way. How...

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Bibliographic Details
Main Authors: Xianzhang Zhou, Aohan Li, Guangjie Han
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/17/7567