Study on Noise Reduction Method of GIS PD Signal Based on the Improved DTCWT

WANG Yongqiang; ZHANG Bin; LI Changyuan; ZHONG Zhao; WANG Juwei; CUI Boyuan

doi:10.13296/j.1001-1609.hva.2018.03.002

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Study on Noise Reduction Method of GIS PD Signal Based on the Improved DTCWT

更新时间：2025-04-26

- Study on Noise Reduction Method of GIS PD Signal Based on the Improved DTCWT
- High VoltageApparatus Vol. 54, Issue 3, Pages: 10-16(2018)
- 作者机构：
  
  1. 华北电力大学河北省输变电设备安全防御重点实验室
  2. 中国电力科学研究院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.03.002
  CLC： TM595
- Published：2018
- 稿件说明：
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[1]王永强,张斌,李长元,仲钊,王巨伟,崔博源.基于改进DTCWT的GIS局部放电信号降噪方法的研究[J].高压电器,2018,54(03):10-16.

WANG Yongqiang, ZHANG Bin, LI Changyuan, et al. Study on Noise Reduction Method of GIS PD Signal Based on the Improved DTCWT[J]. High voltageapparatus, 2018, 54(3): 10-16.
[1]王永强,张斌,李长元,仲钊,王巨伟,崔博源.基于改进DTCWT的GIS局部放电信号降噪方法的研究[J].高压电器,2018,54(03):10-16. DOI： 10.13296/j.1001-1609.hva.2018.03.002.

WANG Yongqiang, ZHANG Bin, LI Changyuan, et al. Study on Noise Reduction Method of GIS PD Signal Based on the Improved DTCWT[J]. High voltageapparatus, 2018, 54(3): 10-16. DOI： 10.13296/j.1001-1609.hva.2018.03.002.

摘要

GIS局部放电产生微弱的特高频信号在外界各种噪声干扰下容易被掩盖

为此利用特高频法检测GIS局部放电必须经过有效降噪处理。文中提出一种基于改进的对偶树复小波（dual-tree complex wavelettransform

DTCWT）局部放电特高频信号降噪方法

该方法是利用DTCWT将含噪信号分解为一系列小波系数

并得到信号在不同变换尺度下的细节分量。利用时域峭度和包络谱峭度将细节分量进行敏感预筛选

极大地提高了后续的最大峭度解卷积（maximum kurtosis deconvolution

MKD）去噪效率。为了验证该方法的有效性与可靠性

进行GIS局部放电特高频信号降噪实测试验

结果表明该方法能有效的对局放信号进行去噪处理

且在较好发挥DTCWT平移不变性等优点的基础上

对细节信号分量的筛选

可改善该局放降噪方法的降噪效果评价指标

并保持其原有的信号特征。

Abstract

Weak UHF signal generated by partial discharge in GIS is easy to cover up by various external noises. Detection of partial discharge in GIS by using UHF method

the effective noise reduction preprocessing must be adopted. This article proposes a kind of improved method of dual-tree complex wavelet transform（DTCWT）partial discharge UHF signal denoise. This method uses DTCWT to decompose noisy signals into a series of wavelet coefficients andobtains the detail components of the signal at different scales. It also uses kurtosises of time-domain signal and of envelope spectrum to pre-filter detail components sensitively which greatly improving the follow up of maximum kurtosisdeconvolution（MKD）denoise efficiency. In order to verify the validity and reliability of this new method

an experimentis conducted about GIS partial discharge UHF signal denoise. The result shows that based on the better exerting of DTCWT shift invariance

the method of this paper is available to precisely suppress the noise interference of PD signal.Further more the screening of detail signal components can improve the noise reduction effect evaluation and maintain the original PD signal characteristics.

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