Extraction of Partial Discharge Signals in Power Transformer Using Complex Wavelet

被引：1
|
作者：
Feng, Guihong [1 ]
Ji, Feng [1 ]
Zhang, Bingyi [1 ]
机构：
[1] Shenyang Univ Technol, Dept Elect Engn, Shenyang, Peoples R China
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3 | 2009年
关键词：
complex wavelet; partial discharge; power transformer;
D O I：
10.1109/ICAL.2009.5262709
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an approach to extract partial discharge (PD) in power transformer by complex wavelet. A method of optimal complex wavelet selection was used based on the similarity between the wavelet and PD signals. The selected complex wavelet can be used to extract features of PD signal from signals which with strong disturbance and noise. The simulation results show that the complex wavelet method can significantly improve the feature extraction in PD signal processing in power transformer.
引用
收藏
页码：1568 / 1571
页数：4
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