Title :
Signature analysis of induction motor mechanical faults by wavelet packet decomposition
Author :
Ye, Zhongming ; Wu, Bin ; Sadeghian, A.R.
Author_Institution :
Dept. of Electr. Eng., Ryerson Polytech. Inst., Toronto, Ont., Canada
Abstract :
New feature coefficients for induction motor mechanical faults are obtained by wavelet packet decomposition of the stator current. The feature coefficients differentiate the healthy and faulty conditions with obvious difference and can be used for the purpose of stator current based fault detection and diagnosis. This method can be extended to other fault detection applications
Keywords :
fault location; induction motors; signal processing; stators; wavelet transforms; faulty conditions; feature coefficients; healthy conditions; induction motor mechanical faults; signature analysis; stator current; stator current based fault detection; wavelet packet decomposition; Air gaps; Discrete wavelet transforms; Fault detection; Fault diagnosis; Frequency; Induction motors; Rotors; Stators; Wavelet analysis; Wavelet packets;
Conference_Titel :
Applied Power Electronics Conference and Exposition, 2001. APEC 2001. Sixteenth Annual IEEE
Conference_Location :
Anaheim, CA
Print_ISBN :
0-7803-6618-2
DOI :
10.1109/APEC.2001.912492
