Title :
A fault diagnosis method of motor based on wavelet transform
Author :
Luo, Xiaoping ; Du, Pengying
Author_Institution :
Key Lab. of Intell. Syst., Zhejiang Univ. City Coll., Hangzhou, China
Abstract :
The harmonic elements of stator current in induction motor will be changed in the condition of stator winding in fault and single-phase open circuit. According to this characteristic a new fault diagnosis method is proposed in this paper. Fault information is separated by current preprocessing, then the twice wavelet transform is applied to achieve fault feature extraction. Experiment studies show that this method has a high fault diagnosis rate and a strong fault recognition rate considering non-motor-faults such as external load changing and the asymmetry of three-phase.
Keywords :
fault diagnosis; induction motors; wavelet transforms; external load changing; fault diagnosis method; fault feature extraction; fault information; fault recognition rate; harmonic elements; induction motor; single-phase open circuit; stator current; stator winding; wavelet transform; Circuit faults; Fault diagnosis; Induction motors; Stator windings; Wavelet analysis; Wavelet transforms; fault diagnosis; motor; wavelet analysis;
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
DOI :
10.1109/IITA-GRS.2010.5602342
