DocumentCode :
1005967
Title :
Induction Machine Broken Bar and Stator Short-Circuit Fault Diagnostics Based on Three-Phase Stator Current Envelopes
Author :
Da Silva, Aderiano M. ; Povinelli, Richard J. ; Demerdash, Nabeel A O
Author_Institution :
Rockwell Autom., Mequon
Volume :
55
Issue :
3
fYear :
2008
fDate :
3/1/2008 12:00:00 AM
Firstpage :
1310
Lastpage :
1318
Abstract :
A new method for the fault diagnosis of a broken rotor bar and interturn short circuits in induction machines (IMs) is presented. The method is based on the analysis of the three-phase stator current envelopes of IMs using reconstructed phase space transforms. The signatures of each type of fault are created from the three-phase current envelope of each fault. The resulting fault signatures for the new so-called ldquounseen signalsrdquo are classified using Gaussian mixture models and a Bayesian maximum likelihood classifier. The presented method yields a high degree of accuracy in fault identification as evidenced by the given experimental results, which validate this method.
Keywords :
Bayes methods; Gaussian processes; asynchronous machines; fault diagnosis; induction motor protection; short-circuit currents; signal classification; stators; Bayesian maximum likelihood classifier; Gaussian mixture model; fault diagnosis; fault identification; fault signature; induction machine broken bar diagnostic; stator short-circuit fault diagnostic; three-phase stator current envelope; unseen signal; AC motor drive systems; AC motor-drive systems; Fault diagnosis; broken bars; envelope detection and classification; fault diagnosis; induction machines; induction machines (IMs); induction motors; inter-turn short circuits; interturn short circuits;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2007.909060
Filename :
4401123
Link To Document :
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