Title :
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
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;
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
DOI :
10.1109/IEMDC.2005.195702
