A Novel Bearing Fault Diagnosis Method Based on GL-mRMR-SVM

A Novel Bearing Fault Diagnosis Method Based on GL-mRMR-SVM

A convolutional neural network (CNN) has been used to successfully realize end-to-end bearing fault diagnosis due to its powerful feature extraction ability. However, the CNN is prone to focus on local information, ignoring the relationship between the whole and the part of the signal due to its uni...

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Bibliographic Details
Main Authors: Xianghong Tang, Qiang He, Xin Gu, Chuanjiang Li, Huan Zhang, Jianguang Lu
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Processes
Subjects:
bearing fault diagnosis
global feature
local feature
convolutional neural network (CNN)
max-relevance min-redundancy (mRMR)
Online Access:https://www.mdpi.com/2227-9717/8/7/784

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https://www.mdpi.com/2227-9717/8/7/784

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