Induction Motor Fault Detection by using Wavelet decomposition on dq0 components

Author

Cusido, J. ; Rosero, Javier A. ; Ortega, J.A. ; Garcia, Alvaro ; Romeral, L.

Author_Institution

Dept. d´´Enginyeria Electron., Univ. Politecnica de Catalunya, Barcelona

Volume

3

fYear

2006

fDate

9-13 July 2006

Firstpage

2406

Lastpage

2411

Abstract

Early detection of interturn shorts during motor operation would eliminate consequential damage to adjacent coils and the stator core, then reducing repair costs and motor outage time. In addition to the benefits gained from early detection of turn insulation breakdown, significant advantages would accrue by locating the faulted coil within the stator winding. Fault location would not only increase the speed of the repair, but would also permit more optimal scheduling of the repair outage. Motor current signature analysis (MCSA) method is widely used as a diagnose tool for industrial applications. On the other hand, Park´s transform is the most popular transformation used in vector control algorithms. By analyzing the current spectra of dqO Park components with MCSA method it is possible to improve earlier fault detection. Moreover, using wavelet transform as signal analysis method it is possible to reduce signal noise effects. Experimental results clearly corroborate the main aim of the paper

Keywords

coils; cores; fault diagnosis; induction motors; maintenance engineering; stators; wavelet transforms; Park transform; adjacent coils; consequential damage elimination; fault location; induction motor fault detection; industrial applications; insulation breakdown; motor current signature analysis method; optimal scheduling; repair cost reduction; signal analysis method; signal noise effect reduction; stator cores; vector control algorithms; wavelet decomposition; wavelet transform; Coils; Costs; Electric breakdown; Fault detection; Fault location; Induction motors; Insulation; Optimal scheduling; Stator cores; Stator windings; Electrical drives; Fault detection; Induction motor; Inter turns shorts; Wavelet analysis; dq0 transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics, 2006 IEEE International Symposium on

Conference_Location

Montreal, Que.

Print_ISBN

1-4244-0496-7

Electronic_ISBN

1-4244-0497-5

Type

conf

DOI

10.1109/ISIE.2006.295949

Filename

4078624