DocumentCode :
2826698
Title :
Induction motor broken bar detection using vibration signal analysis, principal component analysis and linear discriminant analysis
Author :
Jakovljevic, Boris B. ; Kanovic, Z.S. ; Jelicic, Zoran D.
Author_Institution :
Fac. of Tech. Sci., Univ. of Novi Sad, Novi Sad, Serbia
fYear :
2012
fDate :
3-5 Oct. 2012
Firstpage :
1686
Lastpage :
1690
Abstract :
This paper presents procedure for broken rotor bar detection in induction motor based on vibration analysis. Feature set is dimensionally reduced using principal component analysis, and data classification is performed using linear discriminant analysis, technique which is not often used for classification in fault detection.
Keywords :
induction motors; mechanical engineering computing; principal component analysis; signal classification; signal detection; vibrations; broken rotor bar detection; data classification; fault detection; feature set; induction motor broken bar detection; linear discriminant analysis; principal component analysis; vibration signal analysis; Bars; Fault detection; Feature extraction; Induction motors; Principal component analysis; Rotors; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Applications (CCA), 2012 IEEE International Conference on
Conference_Location :
Dubrovnik
ISSN :
1085-1992
Print_ISBN :
978-1-4673-4503-3
Electronic_ISBN :
1085-1992
Type :
conf
DOI :
10.1109/CCA.2012.6402377
Filename :
6402377
Link To Document :
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