A new algorithm for transient motor current signature analysis using wavelets

被引:123
作者
Douglas, H [1 ]
Pillay, P
Ziarani, AK
机构
[1] Clarkson Univ, Dept Elect & Comp Engn, Potsdam, NY 13699 USA
[2] Univ Cape Town, ZA-7925 Cape Town, South Africa
关键词
adaptive notch filter; broken rotor bars; condition monitoring; induction motors; starting transients; wavelets;
D O I
10.1109/TIA.2004.834130
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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.
引用
收藏
页码:1361 / 1368
页数:8
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