Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO

Fault Diagnosis for Rolling Bearings Based on Fine-Sorted Dispersion Entropy and SVM Optimized with Mutation SCA-PSO

Rolling bearings are a vital and widely used component in modern industry, relating to the production efficiency and remaining life of a device. An effective and robust fault diagnosis method for rolling bearings can reduce the downtime caused by unexpected failures. Thus, a novel fault diagnosis me...

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Bibliographic Details
Main Authors: Wenlong Fu, Jiawen Tan, Yanhe Xu, Kai Wang, Tie Chen
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Entropy
Subjects:
rolling bearings
fault diagnosis
variational mode decomposition
fine-sorted dispersion entropy
mutation sine cosine algorithm-particle swarm optimization
support vector machine
Online Access:https://www.mdpi.com/1099-4300/21/4/404

Internet

https://www.mdpi.com/1099-4300/21/4/404

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