Induction Motor Stator Fault Classification Using PCA-ANFIS Technique
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Date
2020
Journal Title
Journal ISSN
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Publisher
ELEKTRIKA-Journal of Electrical Engineering,
Abstract
Induction motors are used commonly for industrial operations due to their ease of operation coupled with ruggedness
and reliability. However, they are subjected to stator faults which result in damage and consequently revenue losses. The
classification of stator fault in a three-phase induction motor based on Adaptive neuro-fuzzy inference system (ANFIS) in
combination with Principal Component Analysis (PCA) is proposed in this study. A burnt motor was redesigned and rewound
while data acquisition was developed to acquire the current and vibration data needed for the fault classification. The data
feature extraction for the fault classification was carried out by PCA while backpropagation and the least-squares algorithms
were used for the training of the data. Three principal components, which severs as input for the ANFIS, were used to represent
the entire data. The ANFIS was tested under four different paradigms, while the membership function type and epoch number
were changed at each instant. The ANFIS model based on the triangular membership function and 10 epoch number was found
appropriate and used, bringing the accuracy of the model to over 99% with the lowest ANFIS training RMSE error of
1.1795e-6. The ANFIS validation results of the fault classification show that the results are accurate, indicating that the PCAANFIS
technique is applicable in fault diagnosis and classification of stator faults in induction motors.
Description
Keywords
Stator fault, three-phase induction motor, Classification, Adaptive Neuro-fuzzy Inference System, Principal Component
Citation
Abullateef, A. I., Sanusi, M. F., & Fagbolagun, O. S. (2020): Induction Motor Stator Fault Classification Using PCA-ANFIS Technique. ELEKTRIKA-Journal of Electrical Engineering, 19(1), 26-32, Published by Universiti Teknologi Malaysia. Available online at https://elektrika.utm.my/index.php/ELEKTRIKA_Journal/issue/view/13/showToc