Fault detection of eccentricity and bearing damage in a PMSM by means of wavelet transforms decomposition of the stator current

Author

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

Author_Institution

Motion Control & Ind. Applic. Group, Tech. Univ. of Catalonia., Terrassa

fYear

2008

fDate

24-28 Feb. 2008

Firstpage

111

Lastpage

116

Abstract

This paper presents the study of permanent magnet synchronous machines (PMSM) running with eccentricity and bearings damage. The objective is to detect and identify the fault through the current signature analysis. The stator current has been analyzed by means of both Fourier (FFT) and Discrete Wavelet (DWT) transforms. Simulations have been carried out with a two-dimensional (2-D) finite element analysis (FEA), and they have been also compared with experiments. The results prove that the method proposed can be used to identify mechanical faults in a PMSM.

Keywords

discrete wavelet transforms; fast Fourier transforms; fault diagnosis; finite element analysis; machine bearings; permanent magnet machines; stators; synchronous machines; DWT; FFT; Fourier transforms; PMSM; bearing damage; current signature analysis; discrete Wavelet transforms; eccentricity; fault detection; mechanical faults; permanent magnet synchronous machines; stator current decomposition; two-dimensional finite element analysis; Discrete Fourier transforms; Discrete wavelet transforms; Fault detection; Fault diagnosis; Fourier transforms; Magnetic analysis; Permanent magnet machines; Stators; Wavelet analysis; Wavelet transforms; Drive; Fourier; PMSM; Wavelet; bearing; damage; eccentricity; fault;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Power Electronics Conference and Exposition, 2008. APEC 2008. Twenty-Third Annual IEEE

Conference_Location

Austin, TX

ISSN

1048-2334

Print_ISBN

978-1-4244-1873-2

Electronic_ISBN

1048-2334

Type

conf

DOI

10.1109/APEC.2008.4522708

Filename

4522708