Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM With Hybrid Mutation SCA-HHO Algorithm Optimization

Fault Diagnosis for Rolling Bearings Based on Composite Multiscale Fine-Sorted Dispersion Entropy and SVM With Hybrid Mutation SCA-HHO Algorithm Optimization

The health condition of rolling bearing possesses a significant impact on the safety and efficiency of rotating machinery. Accordingly, to diagnose the faults in rolling bearings effectively and accurately, a novel hybrid approach coupling variational mode decomposition (VMD), composite multiscale f...

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Bibliographic Details
Main Authors: Wenlong Fu, Kaixuan Shao, Jiawen Tan, Kai Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
variational mode decomposition
composite multiscale fine-sorted dispersion entropy
support vector machine
hybrid mutation SCA-HHO
Online Access:https://ieeexplore.ieee.org/document/8959193/

Internet

https://ieeexplore.ieee.org/document/8959193/

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