A Method of Suppressing Narrow-band Interference in Partial Discharge Based on Hankel Matrix and Singular Value Decomposition

被引:0
作者
Xu Y. [1 ]
Jiang J. [1 ]
Tang K. [1 ]
Zhang T. [2 ]
Luo J. [1 ]
Xie M. [3 ]
机构
[1] State Key Laboratory of Power Transmission Equipments & System Security and New Technology, Chongqing University, Shapingba District, Chongqing
[2] Chongqing Xinshiji Electric Power Corporation, Shapingba District, Chongqing
[3] School of Electrical Engineering and Information, Sichuan University, Chengdu, 610065, Sichuan Province
来源
Dianwang Jishu/Power System Technology | 2020年 / 44卷 / 07期
基金
中国国家自然科学基金;
关键词
Hankel matrix; K-means; Narrow-band interference; Partial discharge; SVD;
D O I
10.13335/j.1000-3673.pst.2019.1064
中图分类号
学科分类号
摘要
Aiming at the problem of suppressing narrow-band interference of partial discharge (PD) signal in HV equipment, this paper presents a new denoising method based on Hankel matrix and singular value decomposition (SVD). Firstly, a Hankel matrix is constructed by sampling value of noisy signal, used as the trajectory matrix of singular value decomposition (SVD). Then the rule of singular value decomposition of narrow-band interference is studied. On the basis of this rule, the singular values corresponding to narrow-band interference are found using the increment of singular entropy and K-means algorithm, and the narrow-band interference is reconstructed. Finally, by subtracting the narrow-band interference from original signal, the PD signal containing only white noise is obtained. The proposed method is applied to simulation signal and laboratory signal, and its results are compared with those of improved FFT threshold method and wavelet denoising method. The results show that, compared with the other two methods, the denoising effect of this method is better, and its results are more similar to original PD signal. © 2020, Power System Technology Press. All right reserved.
引用
收藏
页码:2762 / 2769
页数:7
相关论文
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