DocumentCode :
1114188
Title :
A new algorithm for transient motor current signature analysis using wavelets
Author :
Douglas, Hugh ; Pillay, Pragasen ; Ziarani, Alireza K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Clarkson Univ., Potsdam, NY, USA
Volume :
40
Issue :
5
fYear :
2004
Firstpage :
1361
Lastpage :
1368
Abstract :
A new algorithm is introduced for motor current signature analysis of induction machines operating during transients. The algorithm is able to extract the amplitude, phase and frequency of a single sinusoid embedded in a nonstationary waveform. The algorithm is applied to the detection of broken rotor bars in induction machines during startup transients. The fundamental component of current, which varies in amplitude, phase, and frequency, is extracted using the algorithm. The residual current is then analyzed using wavelets for the detection of broken rotor bars. This method of condition monitoring does not require parameters such as speed or number of rotor bars, is not load dependent and can be applied to motors that operate continuously in the transient mode, e.g., wind generators or motor-operated valves.
Keywords :
condition monitoring; induction motors; rotors; wavelet transforms; broken rotor bar detection; condition monitoring; induction machines; signature analysis; transient motor current; wavelet; Algorithm design and analysis; Bars; Condition monitoring; Frequency; Induction machines; Induction motors; Rotors; Transient analysis; Valves; Wavelet analysis; Adaptive notch filter; broken rotor bars; condition monitoring; induction motors; starting transients; wavelets;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2004.834130
Filename :
1337064
Link To Document :
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