Detection of Dynamic Eccentricity Fault in Induction Motors Using Fast Fourier and Wavelet Packet Transform Methods
Publish place: Fifth National Conference on Computer Engineering
Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
TECCONF05_055
تاریخ نمایه سازی: 11 مهر 1400
Abstract:
This paper presents the effect of rotor dynamic eccentricity fault on the air gap magnetic field and stator current in a tested ۳ phase squirrel cage induction motor. The distorted sinusoidal stator current is analyzed by Fast Fourier transform and wavelet packet transform methods to detect the fault. Themagnetic fields in the stator, rotor and air gap are simulated using Finite Element Magnetic method. To achieve accurate model, all geometrical, electrical, mechanical, and physical characteristics of different parts of induction motor are considered in the model and the obtained results confirms this issue. To zoom on a particular frequency interval, the wavelet packet transform method is employed. The presented simulation results show although bothmethods wavelet and Fourier transforms are capable to detect the dynamic fault in the motor, though wavelet transform indicatesthe fault more clearly.
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Authors
Mahdi Ahmadi
Department of Electrical Engineering Esfarayen University of Technology Esfarayen, Iran