DocumentCode
3525935
Title
Diagnosis of electrical and mechanical faults of induction motor
Author
Nakamura, H. ; Yamamoto, Y. ; Mizuno, Y.
Author_Institution
TOENEC Corp., Nagoya
fYear
2006
fDate
15-18 Oct. 2006
Firstpage
521
Lastpage
524
Abstract
This paper proposes a new method for fault diagnosis of induction motors based on Hidden Markov Model, which is widely used in the field of speech recognition. In order to carry out pattern recognition, current waveforms running in stator winding are analyzed for motors with short circuit fault in stator windings or with broken rotor bars. Frequency spectrum of current are also investigated. The usefulness of the proposed diagnosis method is verified through pattern recognitions for arbitrary current waveforms obtained by experiments.
Keywords
fault diagnosis; hidden Markov models; induction motors; pattern recognition; stators; current waveforms; electrical fault diagnosis; hidden Markov model; induction motor; mechanical fault diagnosis; pattern recognition; rotor bars; short circuit fault; stator winding; stator windings; Bars; Circuit faults; Fault diagnosis; Hidden Markov models; Induction motors; Pattern analysis; Pattern recognition; Rotors; Speech recognition; Stator windings;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation and Dielectric Phenomena, 2006 IEEE Conference on
Conference_Location
Kansas City, MO
Print_ISBN
1-4244-0547-5
Electronic_ISBN
1-4244-0547-5
Type
conf
DOI
10.1109/CEIDP.2006.311984
Filename
4105485
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