Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier

Bearing Fault Diagnosis Using a Particle Swarm Optimization-Least Squares Wavelet Support Vector Machine Classifier

Bearing is one of the key components of a rotating machine. Hence, monitoring health condition of the bearing is of paramount importace. This paper develops a novel particle swarm optimization (PSO)-least squares wavelet support vector machine (PSO-LSWSVM) classifier, which is designed based on a co...

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Bibliographic Details
Main Authors: Mien Van, Duy Tang Hoang, Hee Jun Kang
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
non-local means (NLM)
empirical mode decomposition (EMD)
support vector machine (SVM)
wavelet kernel
minimum redundancy maximum relevance (mRMR)
particle swarm optimization (PSO)
Online Access:https://www.mdpi.com/1424-8220/20/12/3422

Internet

https://www.mdpi.com/1424-8220/20/12/3422

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