Detection of Dynamic Eccentricity Fault in Induction Motors Using Fast Fourier and Wavelet Packet Transform Methods
عنوان مقاله: Detection of Dynamic Eccentricity Fault in Induction Motors Using Fast Fourier and Wavelet Packet Transform Methods
شناسه ملی مقاله: JR_IJMEC-12-44_002
منتشر شده در در سال 1401
شناسه ملی مقاله: JR_IJMEC-12-44_002
منتشر شده در در سال 1401
مشخصات نویسندگان مقاله:
Mahdi Ahmadi - Department of Electrical Engineering Esfarayen University of Technology Esfarayen, Iran
خلاصه مقاله:
Mahdi Ahmadi - Department of Electrical Engineering Esfarayen University of Technology Esfarayen, Iran
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. The
magnetic 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 both methods wavelet and Fourier
transforms are capable to detect the dynamic fault in the motor,
though wavelet transform indicates the fault more clearly.
کلمات کلیدی: Dynamic eccentricity, Fast Fourier transform, Fault detection, Induction motor, Wavelet packet transform
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1841818/