journal article·2021-09-30Open access

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

Menshawy A. Mohamed, Mohamed A. Moustafa Hassan, Fahad Albalawi, Sherif S. M. Ghoneim, Ziad M. Ali, Mostafa Dardeer

Applied Sciences· Volume 11· Issue 19

Abstract

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. Experimental tests have been set up using a 1.5 Hp/380 V three-phase SC-IM with different combined ITSC and BRB faults under different loading conditions. Before entering the model, the Discrete Wavelet Transform (DWT) pre-processes the stator current signal. The DWT generates data sets in order to evaluate the proposed technique. ANFIS based on DWT is used successfully to diagnose the most relevant faults very effectively. In addition, ANFIS based on the DWT method has been compared to ANFIS and ANFIS based on an auto-regressive model, finding that the proposed method achieves higher efficiency than the previous one. The proposed ANFIS based on the DWT model classifies entirely different states of combined ITSC and BRB faults with high accuracy.
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Research context

OpenAlex topics: Machine Fault Diagnosis Techniques · Engineering Diagnostics and Reliability · Machine Learning in Bioinformatics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Electric Engineering Department, Faculty of Engineering, Aswan University, Aswan 81542, Egypt

Research and Development Department, Qena Water and Wastewater Company, Qena 83515, Egypt

Electric Power Department, Faculty of Engineering, Cairo University, Giza 12631, Egypt

Department of Electrical Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia

Electrical Engineering Department, College of Engineering at Wadi Addawaser, Prince Sattam Bin Abdulaziz University, Wadi Addawaser 11991, Saudi Arabia

Funding

Taif University

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