DocumentCode :
1106547
Title :
Instantaneous power as a medium for the signature analysis of induction motors
Author :
Legowski, Stanislaw F. ; Ula, A. H M Sadrul ; Trzynadlowski, Andrzej M.
Author_Institution :
Dept. of Electr. Eng., Wyoming Univ., Laramie, WY, USA
Volume :
32
Issue :
4
fYear :
1996
Firstpage :
904
Lastpage :
909
Abstract :
Preventive maintenance of electric drive systems with induction motors involves monitoring of their operation for detection of abnormal electrical and mechanical conditions that indicate, or may lead to, a failure of the system. Intensive research effort has been for sometime focused on the motor current signature analysis (MCSA). The MCSA techniques utilize the results of spectral analysis of the stator current. Reliable interpretation of the spectra is difficult, since distortions of the current waveform caused by the abnormalities in the drive system are usually minute. In this paper, an alternate medium for the motor signature analysis, namely the instantaneous power, is proposed. By theoretical analysis, computer simulations, and laboratory experiments, it is shown that the instantaneous power carries more information than the current itself. Utilization of the instantaneous power is thus enhancing the reliability of diagnostics of induction motor drives
Keywords :
digital simulation; electric machine analysis computing; induction motor drives; machine testing; machine theory; signal processing; simulation; abnormal electrical conditions detection; abnormal mechanical conditions detection; computer simulations; diagnostics reliability enhancement; electric drive systems; induction motors; instantaneous power; instantaneous power modulation; laboratory experiments; motor current signature analysis; operation monitoring; preventive maintenance; signature analysis; spectral analysis; stator current; theoretical analysis; Computer simulation; Condition monitoring; Drives; Induction motors; Information analysis; Laboratories; Power system reliability; Preventive maintenance; Spectral analysis; Stators;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/28.511648
Filename :
511648
Link To Document :
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