Intermittent fault identification for permanent magnet AC drives based on the Short-Time Fourier Transform

Author

Zanardelli, Wesley G. ; Strangas, Elias G. ; Aviyente, Selin

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan State Univ., East Lansing, MI

fYear

2005

fDate

7-9 Sept. 2005

Firstpage

1

Lastpage

6

Abstract

Prognosis for failure of an electric machine can be achieved through the detection of noncatastrophic faults. As the frequency of these types of faults increases, the working life of the machine is decreased, leading to eventual failure. In this work, two types of stator faults are studied. The methods developed are based on analysis of the short-time Fourier transform of the field oriented machine currents. Linear discriminant analysis is used to classify between the fault types.

Keywords

AC motor drives; Fourier transforms; fault diagnosis; machine testing; permanent magnet motors; stators; electric machine; field oriented machine currents; intermittent fault identification; linear discriminant analysis; noncatastrophic faults; permanent magnet AC drives; short-time Fourier transform; stator faults; Bars; DC motors; Discrete wavelet transforms; Fault diagnosis; Fourier transforms; Frequency; Induction machines; Permanent magnets; Stators; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Diagnostics for Electric Machines, Power Electronics and Drives, 2005. SDEMPED 2005. 5th IEEE International Symposium on

Conference_Location

Vienna

Print_ISBN

978-0-7803-9124-6

Electronic_ISBN

978-0-7803-9125-3

Type

conf

DOI

10.1109/DEMPED.2005.4662500

Filename

4662500