A Fault Diagnosis Method of Rolling Bearings Based on Parameter Optimization and Adaptive Generalized S-Transform
As for the fault diagnosis of rolling bearings under strong background noises, whether the fault feature extraction is comprehensive and accurate is critical, especially for the data-driven fault diagnosis methods. To improve the comprehensiveness and accuracy of the fault feature extraction, a faul...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-03-01
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Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/10/3/207 |