Subspace reconstruction to suppress periodic narrowband noises of partial discharge signals

被引：0
作者：
Duan W. [1 ]
Zhang Y. [2 ]
Li T. [2 ]
机构：
[1] State Grid Tianjin Electric Power Company, Tianjin
[2] School of Electrical Engineering, Northeast Dianli University, Jilin
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2017年 / 37卷 / 07期
关键词：
HANKEL matrix; Narrowband noise; Partial discharge; Singular value decomposition; Subspace reconstruction;
D O I：
10.16081/j.issn.1006-6047.2017.07.027
中图分类号：
学科分类号：
摘要：
A method based on subspace reconstruction is proposed to suppress the periodic narrowband noises for extracting the effective PD(Partial Discharge) signals. Singular value decomposition is performed to divide the HANKEL matrix consisting of original PD data into the periodic narrowband noise subspace and the PD signal subspace. The data of periodic narrowband noise subspace are used to reconstruct the waveform of periodic narrowband noises, which is then subtracted from the original PD data. The proposed method, with better resistance to random interferences, can effectively filter out the periodic narrowband noises while ensure a smaller distortion of PD signals. Simulative and measured PD data are applied to verify its effectiveness. © 2017, Electric Power Automation Equipment Press. All right reserved.
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页码：178 / 183
页数：5
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