Failure Prognosis for Permanent Magnet AC Drives Based on Wavelet Analysis

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

15-15 May 2005

Firstpage

64

Lastpage

70

Abstract

Prognosis for failure of an electric machine can be achieved through the detection of non-catastrophic 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 undecimated discrete wavelet transform of the field oriented machine currents. Linear discriminant analysis is used to classify between the fault types

Keywords

AC motor drives; discrete wavelet transforms; fault diagnosis; permanent magnet machines; stators; discrete wavelet transforms; electric machine; failure prognosis; field oriented machine currents; linear discriminant analysis; noncatastrophic fault detection; permanent magnet AC drives; stator faults; wavelet analysis; Discrete wavelet transforms; Electric machines; Electrical fault detection; Failure analysis; Frequency; Linear discriminant analysis; Magnetic analysis; Permanent magnets; Stators; Wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Machines and Drives, 2005 IEEE International Conference on

Conference_Location

San Antonio, TX

Print_ISBN

0-7803-8987-5

Electronic_ISBN

0-7803-8988-3

Type

conf

DOI

10.1109/IEMDC.2005.195702

Filename

1531320