Study on transient signal detection in power system Based on Wavelet Transform

被引:1
|
作者
Diao, Yanhua [1 ]
Li, Chunming [1 ]
机构
[1] Hebei Univ Sci & Technol, Coll Informat Sci & Engn, Shijiazhuang 050000, Hebei, Peoples R China
关键词
D O I
10.1109/IITA.2008.473
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The application of wavelet analysis in transient signal detection of power systems is growing rapidly. In this paper, according to the theory of detecting signals with wavelet transformation, a new transient singnal feature detection scheme is introduced, It is based on wavelet transform, particularly the multiresolution analysis technique. This work focuses on how to use the wavelet transform to locate signal abrupt points, at the same time, we also describes the significant properties of wavelet base and how to choice a appropriate wavelet. The effectiveness of the proposed scheme was verified in the experiment. The simulation result shows that this method has the ability of simple algorithm, high location accurance, can effectively improve the sensitivity and selectivity. Furthermore the prospect of wavelet analysis in power system, especially in fault diagnosis is estimated.
引用
收藏
页码:816 / 820
页数:5
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