Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability

Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability

In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an essential part of improving machine life, reducing economic losses, and avoiding safety problems caused by machine bearing failures. Most existing bearing fault diagnosis methods face challenges in extracting the f...

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Bibliographic Details
Main Authors: Wenlang Xie, Zhixiong Li, Yang Xu, Paolo Gardoni, Weihua Li
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
bearing fault diagnosis
deep learning
machine learning
convolutional neural network
feature extraction
bearing fault classifier
Online Access:https://www.mdpi.com/1424-8220/22/9/3314

Internet

https://www.mdpi.com/1424-8220/22/9/3314

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