Diagnostic Modelling for Induction Motor Faults via ANFIS Algorithm and DWT-Based Feature Extraction

Diagnostic Modelling for Induction Motor Faults via ANFIS Algorithm and DWT-Based Feature Extraction

This paper proposes an Adaptive Neural Fuzzy Inference System (ANFIS) model for diagnosis of combined Inter Turn Short Circuit (ITSC) and Broken Rotor Bar (BRB) faults in a Squirrel Cage Induction Motor (SC-IM). The signal of the stator current is obtained from a really healthy and faulty SC-IM. Exp...

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Bibliographic Details
Main Authors: Menshawy A. Mohamed, Mohamed A. Moustafa Hassan, Fahad Albalawi, Sherif S. M. Ghoneim, Ziad M. Ali, Mostafa Dardeer
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
ANFIS
broken rotor bar fault
DWT
feature extraction
inter turn short circuit fault
Online Access:https://www.mdpi.com/2076-3417/11/19/9115

Internet

https://www.mdpi.com/2076-3417/11/19/9115

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