Development of MATLAB GUI for Induction Motor Fault Diagnosis

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Published: Apr 3, 2017
Keywords:
MATLAB GUI Fault Diagnosis Motor Current Signature Analysis Motor Failure Artificial Intelligence

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Chanchai Kusoljittakorn
Department of Electronic Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok
Chanwit Tangsiriworakul
Department of Electronic Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok
Eakalak Kulchonchan
Department of Electronic Engineering Technology, College of Industrial Technology, King Mongkut’s University of Technology North Bangkok
Chalermchat Manop
Department of Electrical Engineering, Faculty of Engineering, King Mongkut’s Institute of Technology Lardkrabang, Bangkok

Abstract

This paper presents a software development for stator and rotor fault diagnoses in induction motors based on the MATLAB GUI. The concept of the detection is to detect the fault spectra caused by the failures of the stator and rotor. The important analytical technique is the Motor Current Signature Analysis (MCSA). Two intelligent methods including an Artificial Neural Network (ANN) and a Support Vector Machine (SVM) are selected to carry out fault classification and diagnosis. The software starts to analyze when users enter the important information i.e. the motor stator current in the time domain. Subsequently, the software will analyze and show the results in the window of the MATLAB GUI, which is easy to read the results and to plan the maintenance. In addition, the fault classification performances are satisfactory with more than 85% accuracy.

Article Details

Issue
Vol. 27 No. 2 (2017): April - June, 2017
Section
บทความวิจัย

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References

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