Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN

Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN

This paper presents a feature selection model based on mean impact value (MIV) to solve induction motor (IM) fault diagnosis on the current signal. In this paper, particle swarm optimization (PSO) is combined with back propagation neural network (BPNN) to classify the current signal of IM. First, th...

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Bibliographic Details
Main Authors: Chun-Yao Lee, Hong-Yi Ou
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Symmetry
Subjects:
induction motor
fault diagnosis
back propagation neural network
S-transform
Online Access:https://www.mdpi.com/2073-8994/13/1/104

Internet

https://www.mdpi.com/2073-8994/13/1/104

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