JOURNAL ARTICLE

Detection of Stator Interturn Fault Using Discrete Wavelet Transform

Abstract

Induction motors are widely used in industries as they are robust and rugged in construction. Hence, it becomes necessary to have sophisticated technique for online detection of faults in Induction motor. In this paper author has presented a technique for stator inter turn fault detection using discrete wavelet transform. The proposed technique is implemented in MATLAB. The proposed technique compares the current in healthy and faulty condition to produce accurate results. The proposed technique uses discrete Fourier transform for signal processing and produces more accurate results as compared to traditional waveform analysis technique.

Keywords:
Stator Discrete wavelet transform MATLAB Induction motor Computer science Waveform Fault detection and isolation Wavelet transform Signal processing Wavelet Discrete Fourier transform (general) Fault (geology) Fourier transform SIGNAL (programming language) Electronic engineering Algorithm Artificial intelligence Engineering Short-time Fourier transform Fourier analysis Digital signal processing Mathematics Electrical engineering Computer hardware Telecommunications Voltage

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FWCI (Field Weighted Citation Impact)
20
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0.26
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Topics

Machine Fault Diagnosis Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Non-Destructive Testing Techniques
Physical Sciences →  Engineering →  Mechanical Engineering
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