Title :
Application of the fourier and the wavelet transform for the fault detection in induction motors at the startup electromagnetic torque
Author :
Menacer, Arezki ; Kechida, Ridha ; Champenois, Gérard ; Tnani, Slim
Author_Institution :
Dept. of Electr. Eng., Univ. Mohamed Khider, Biskra, Algeria
Abstract :
In this paper, a method for the diagnosis of rotor bar failures for the induction machines has been presented. It based on the analysis of the stator current, using the Fourier transform and discrete wavelet transform (DWT) at the start-up electromagnetic torque. Using the simplified dynamic model of the squirrel cage induction motor taking account the broken rotor bars and the discrete wavelet transform (DWT) in order to extract the different harmonic components of the stator currents. The performance presented by using of the DWT: its ability to provide a local representation of the non stationary current signals for the healthy machine and with fault (two adjacent broken bars). The results are compared with those obtained using the Fourier transform.
Keywords :
Fourier transforms; discrete wavelet transforms; fault location; rotors; squirrel cage motors; stators; torque; DWT; Fourier transform; discrete wavelet transform; harmonic component; induction machine fault detection; nonstationary current signal; rotor bar failure diagnosis; squirrel cage induction motor; startup electromagnetic torque; stator current; Discrete wavelet transforms; Rotors; Stators; Torque; Wavelet analysis; Broken rotor bars; Spectrum Analysis; discrete wavelet transform (DWT); fault diagnosis; startup electromagnetic torque;
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on
Conference_Location :
Bologna
Print_ISBN :
978-1-4244-9301-2
Electronic_ISBN :
978-1-4244-9302-9
DOI :
10.1109/DEMPED.2011.6063695