Title :
Rotor fault diagnosis of induction motor based on wavelet reconstruction
Author :
Zhitong, Cao ; Hongping, Chen ; Guoguang, He ; Ritchie, Ewen
Author_Institution :
Inst. of Appl. Phys., Zhejiang Univ., Hangzhou, China
Abstract :
The fault of broken rotor bars in a three-phase induction motor is diagnosed by using the wavelet multi-resolution analysis in this paper. Daubechies wavelet is selected as the wavelet base, and the wavelet coefficient is obtained from the wavelet transform of the current signal of the faulty induction motor. The wavelet reconstruction of a single branch is then processed. This is the signal in each frequency branch as a function of time. A rotor fault in the induction motor is clearly identified from the distinguishing current characteristics on the high frequency branch, compared with the no fault condition
Keywords :
fault diagnosis; induction motors; rotors; wavelet transforms; Daubechies wavelet; broken rotor bar fault; current signal; frequency branch; high frequency branch; rotor fault diagnosis; three-phase induction motor; wavelet coefficient; wavelet multi-resolution analysis; wavelet reconstruction; wavelet transform; Bars; Fault diagnosis; Fourier transforms; Frequency; Induction motors; Rotors; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms;
Conference_Titel :
Electrical Machines and Systems, 2001. ICEMS 2001. Proceedings of the Fifth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
7-5062-5115-9
DOI :
10.1109/ICEMS.2001.970690
