A Novel Rolling Bearing Fault Diagnosis Method Based on Adaptive Feature Selection and Clustering

A Novel Rolling Bearing Fault Diagnosis Method Based on Adaptive Feature Selection and Clustering

Rolling bearing is an important part of mechanical equipment. Timely detection of rolling bearing fault is one of the important factors to ensure the safe operation of equipment. In order to diagnose rolling bearing fault accurately, a novel rolling bearing fault diagnosis method based on adaptive f...

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Bibliographic Details
Main Authors: Jingbao Hou, Yunxin Wu, Abdulrahaman Shuaibu Ahmad, Hai Gong, Lei Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
rolling bearing
adaptive feature selection
Relief-F algorithm
clustering
Online Access:https://ieeexplore.ieee.org/document/9481214/

Internet

https://ieeexplore.ieee.org/document/9481214/

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