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
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