Rolling Bearing Fault Diagnosis Based on Time-Frequency Feature Extraction and IBA-SVM

Rolling Bearing Fault Diagnosis Based on Time-Frequency Feature Extraction and IBA-SVM

Accurate fault diagnosis of rolling bearings is necessary to ensure the safe and reliable operation of mechanical equipment. Aiming at the problem of low accuracy of rolling bearing fault diagnosis, a rolling bearing fault diagnosis algorithm based on time-frequency feature extraction and improved b...

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Bibliographic Details
Main Authors: Mei Zhang, Jun Yin, Wanli Chen
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Rolling bearing
fault diagnosis
feature extraction
IBA algorithm
SVM model
Online Access:https://ieeexplore.ieee.org/document/9856613/

Internet

https://ieeexplore.ieee.org/document/9856613/

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