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

Volume

1

fYear

2001

fDate

2001

Firstpage

374

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ICEMS.2001.970690

Filename

970690