Suppression of Narrow-band Noise of Partial Discharge Based on Improved SVD Algorithm

被引：0

作者：

Rao X. ^{[1
]}

Zhou K. ^{[1
]}

Wang X. ^{[2
]}

Li M. ^{[3
]}

Huang Y. ^{[3
]}

Xie M. ^{[4
]}

机构：

[1] School of Electrical Engineering, Sichuan University, Chengdu

[2] Wanzhou Power Supply Branch, State Grid Chongqing Electric Power Company, Chongqing

[3] Skill Training Center of State Grid Sichuan Electric Power Company, Chengdu

[4] Wuxi Power Supply Company, State Grid Jiangsu Electric Power Co., Ltd., Wuxi

来源：

Zhou, Kai (zhoukai_scu@163.com) | 2021年 / Science Press卷 / 47期

基金：

中国博士后科学基金;

关键词：

FFT power spectrum; Guide signals; Narrow-band noise; Partial discharge; Singular value decomposition;

D O I：

10.13336/j.1003-6520.hve.20191699

中图分类号：

学科分类号：

摘要：

To solve the waveform distortions and the bad performances of threshold methods and traditional singular value decom-position(SVD) methods for periodic narrow-band noise rejection of partial discharge(PD), this paper presents a noise suppression method based on the improved SVD algorithm with guide signals. Firstly, the number of periodic narrow-band noise is determined by the classic threshold method combined with mixed PD signals fast Fourier transform(FFT) power spectrum, and a frequency estimation method based on three FFT sampled values is proposed to estimate the interference frequency accurately. Then the guide signals are structured and added to mixed PD signals to separate the singular value of narrow-band noise from that of PD signals, leading to suppression of narrow-band noise. The simulation and experiment results show that the proposed method can suppress narrow-band noise effectively and show the original PD signals waveform. Compared with traditional SVD methods and FFT denoising methods, the method proposed in this paper has better denoising results. © 2021, High Voltage Engineering Editorial Department of CEPRI. All right reserved.

引用

页码：705 / 713

页数：8

共 22 条

[21] ZHAO Xuezhi, NIE Zhenguo, YE Bangyan, Et al., Number law of effective singular values of signal and its application to feature extraction, Journal of Vibration Engineering, 29, 3, pp. 532-541, (2016)
[22] XIE Min, ZHOU Kai, HUANG Yonglu, Et al., A white noise suppression method for partial discharge based on short time singular value decomposition, Proceedings of the CSEE, 39, 3, pp. 915-922, (2019)

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