Effective Rotor Fault Diagnosis Model Using Multilayer Signal Analysis and Hybrid Genetic Binary Chicken Swarm Optimization

Effective Rotor Fault Diagnosis Model Using Multilayer Signal Analysis and Hybrid Genetic Binary Chicken Swarm Optimization

This article proposes an effective rotor fault diagnosis model of an induction motor (IM) based on local mean decomposition (LMD) and wavelet packet decomposition (WPD)-based multilayer signal analysis and hybrid genetic binary chicken swarm optimization (HGBCSO) for feature selection. Based on the...

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Bibliographic Details
Main Authors: Chun-Yao Lee, Guang-Lin Zhuo
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Symmetry
Subjects:
rotor
fault diagnosis
local mean decomposition
wavelet packet decomposition
chicken swarm optimization
feature selection
Online Access:https://www.mdpi.com/2073-8994/13/3/487

Internet

https://www.mdpi.com/2073-8994/13/3/487

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