DocumentCode :
3534407
Title :
An experimental study of induction motor current signature analysis techniques for incipient broken rotor bar detection
Author :
Mariun, Norman ; Mehrjou, Mohammad Rezazadeh ; Marhaban, Mohammad Hamiruce ; Misron, Norhisam
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. Putra Malaysia, Serdang, Malaysia
fYear :
2011
fDate :
11-13 May 2011
Firstpage :
1
Lastpage :
5
Abstract :
Incipient fault detection of the induction machines (IM) prevents the unscheduled downtime and hence reduces maintenance costs. Condition monitoring, signal processing and data analysis are the key parts of the EVI fault detection scheme. The Motor Current Signature Analysis (MCSA) is considered as an effective condition monitoring method in any EVI. However, a signal processing technique, which enhances the fault signature and suppress the dominant system dynamics and noise, must be considered. Windowed Fourier transform analysis and wavelet are of the most considered signal processing methods. However, some parameters influence their ability and accuracy. This paper intends to investigate the effectiveness of these methods for incipient fault detection. Accordingly, current signal was measured and analyzed for broken rotor bar diagnosis in a squirrel-cage induction machine. Results indicated that though windowing improves Fourier transform analysis, it is not capable of accurate incipient fault detection. In other words, wavelet analysis is superior for this purpose.
Keywords :
Fourier transforms; asynchronous machines; condition monitoring; rotors; signal processing; squirrel cage motors; wavelet transforms; condition monitoring; data analysis; incipient broken rotor bar detection; incipient fault detection; induction motor; maintenance costs; motor current signature analysis; signal processing; squirrel-cage induction machine; unscheduled downtime; wavelet; windowed Fourier transform; Discrete wavelet transforms; Fault detection; Feature extraction; Induction motors; Rotors; Wavelet analysis; Broken rotor bar; Fourier analysis; Induction machine; Motor Current Signature Analysis; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2011 International Conference on
Conference_Location :
Malaga
ISSN :
2155-5516
Print_ISBN :
978-1-4244-9845-1
Electronic_ISBN :
2155-5516
Type :
conf
DOI :
10.1109/PowerEng.2011.6036457
Filename :
6036457
Link To Document :
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