DocumentCode :
1669643
Title :
An Improvement of Stator Current Based Detection of Bearing Fault in Induction Motors
Author :
Sun Liling ; Xu Boqiang
Author_Institution :
North China Electr. Power Univ., Baoding
fYear :
2007
Firstpage :
2277
Lastpage :
2281
Abstract :
This paper develops an improved stator current based detection scheme for bearing fault in induction motors. Firstly, experiments of bearing fault are performed. Secondly, by thoroughly analyzing the experiment results, a series of interesting highlights, which could help improve the sensitivity and reliability of stator current based detection of bearing fault in actual field, are revealed clearly. Finally, an improved stator current based detection scheme, which perfectly blends subdivision Fourier transform, self-adaptive filter and rotor slot harmonics based slip estimation techniques together, is proposed. Fault detection instances in laboratory demonstrate that the presented scheme is effective.
Keywords :
Fourier transforms; adaptive filters; machine bearings; stators; Fourier transform; bearing fault; detection scheme; induction motors; reliability; rotor slot harmonics; self adaptive filter; sensitivity; slip estimation; stator current; Electrical fault detection; Fault detection; Fourier transforms; Frequency; Induction motors; Laboratories; Power harmonic filters; Rotors; Stators; Vibration measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE
Conference_Location :
New Orleans, LA
ISSN :
0197-2618
Print_ISBN :
978-1-4244-1259-4
Electronic_ISBN :
0197-2618
Type :
conf
DOI :
10.1109/07IAS.2007.344
Filename :
4348093
Link To Document :
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