Fault Detection of Stator Winding Interturn Short Circuit in PMSM Based on Wavelet Packet Analysis

Author

Zheng An Ping ; Yang Juan ; Wang Ling

Author_Institution

Sch. of Electr. & Inf. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China

fYear

2013

fDate

16-17 Jan. 2013

Firstpage

566

Lastpage

569

Abstract

In this paper, the method of wavelet packet transform analysis is proposed, according to the shortcomings of Fourier transform analysis method when the fault detection of permanent magnet synchronous motor(PMSM) is studied. The stator current signal of PMSM is decomposed by wavelet packet, then the signal energy eigenvalues of frequency bands are analyzed. The simulation result shows that the method of wavelet packet transform analysis can well characterize the fault features of the stator winding inter-turn short circuit.

Keywords

eigenvalues and eigenfunctions; fault diagnosis; permanent magnet motors; short-circuit currents; stators; synchronous motors; wavelet transforms; PMSM; fault detection; permanent magnet synchronous motor; signal energy eigenvalues; stator current signal; stator winding interturn short circuit; wavelet packet transform analysis method; Circuit faults; Mathematical model; Stator windings; Wavelet analysis; Wavelet packets; Fault Detection; PMSM; Wavelet Packet Transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4673-5652-7

Type

conf

DOI

10.1109/ICMTMA.2013.141

Filename

6493793