Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

Rolling Bearing Fault Diagnosis Based on VMD-MPE and PSO-SVM

The goal of the paper is to present a solution to improve the fault detection accuracy of rolling bearings. The method is based on variational mode decomposition (VMD), multiscale permutation entropy (MPE) and the particle swarm optimization-based support vector machine (PSO-SVM). Firstly, the origi...

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Bibliographic Details
Main Authors: Maoyou Ye, Xiaoan Yan, Minping Jia
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Entropy
Subjects:
variational modal decomposition
multiscale permutation entropy
particle swarm optimization-based support vector machine
rolling bearing
fault diagnosis
Online Access:https://www.mdpi.com/1099-4300/23/6/762

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