Interference Suppressing In Partial Discharge Based on LS-SVM Regression and EMD Algorithm

被引：0
|
作者：
Shen Hong [1 ]
Kong Xiaohong [1 ]
Chen Xiqu [1 ]
Du Jiaxi [1 ]
Zhang Wei [1 ]
机构：
[1] Henan Inst Sci & Technol, Mech & Elect Dept, Xinxiang 453003, Peoples R China
来源：
PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 4 | 2010年
关键词：
Partial discharge; Narrow-band interference; White noise; LS-SVM; EMD; EMPIRICAL MODE DECOMPOSITION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In partial discharge (PD) measurements of electric power equipment there is always a lot of interference, of which periodicity narrow-band interference demonstrates strongly in both time domain and frequency domain, so it must be filtered in advance, and then white noise is dealt with. Based on the research of the threshold value of frequency domain and Wavelet filtering method, an improved algorithm is presented in which by use of least square support vector machine (LS-SVM) regression, and which can adapt the narrow-band interference in a wider frequency band, meanwhile, white noise is suppressed by adaptive threshold method for reconstruction of Empirical Mode Decomposition (EMD). Finally this method is used in interference suppressing of factual PD signals, the result shows that the method is effective.
引用
收藏
页码：635 / 641
页数：7
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