New Wavelet Denoising Algorithm of Transformer’s Partial Discharge Signals and Experimental Analysis

WANG Yong1; ZHAO Shu-tao1; HE Ping2

doi:10.13296/j.1001-1609.hva.2011.11.002

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New Wavelet Denoising Algorithm of Transformer’s Partial Discharge Signals and Experimental Analysis

更新时间：2025-04-26

- New Wavelet Denoising Algorithm of Transformer’s Partial Discharge Signals and Experimental Analysis
- High VoltageApparatus Vol. 47, Issue 11, Pages: 72-76(2011)
- 作者机构：
  
  1. 华北电力大学电气与电子工程学院
  2. 保定天威集团
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2011.11.002
  CLC： TM406;TN911.6
- Published：2011
- 稿件说明：
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[1]王永,赵书涛,何平.变压器局部放电信号小波消噪新算法与试验分析[J].高压电器,2011,47(11):72-76.

WANG Yong1, ZHAO Shu-tao1, HE Ping2. New Wavelet Denoising Algorithm of Transformer’s Partial Discharge Signals and Experimental Analysis[J]. High voltageapparatus, 2011, 47(11): 72-76.
[1]王永,赵书涛,何平.变压器局部放电信号小波消噪新算法与试验分析[J].高压电器,2011,47(11):72-76. DOI： 10.13296/j.1001-1609.hva.2011.11.002.

WANG Yong1, ZHAO Shu-tao1, HE Ping2. New Wavelet Denoising Algorithm of Transformer’s Partial Discharge Signals and Experimental Analysis[J]. High voltageapparatus, 2011, 47(11): 72-76. DOI： 10.13296/j.1001-1609.hva.2011.11.002.

摘要

目前变压器局部放电信号小波消噪主要有阈值法、相关法和模极大值法3种

其都有一定的局限性。针对这些局限性

笔者结合阈值法和模极大值法的特点和适应范围

给出了一种新的小波消噪算法

最后用该算法编程对变压器局部放电信号进行分析。实验表明该算法能较好的消除白噪声

并对强电脉冲干扰有一定的抑制作用

证明其在变压器放电信号处理中有一定的工程应用价值。

Abstract

The existing main wavelet denoising methods include threshold method

spatial correlation method

and modulus maximum method

however they all have some limitations.Combining the features and application ranges of the threshold method and modulus maximum methods

a new wavelet denoising algorithm was proposed and programmed in this paper.Moreover

the transformer’s partial discharge signals were analyzed by the program.The experimental results demonstrate that the algorithm can eliminate white noise

and suppress strong electrical pulse interference to a certain extent

which suggests the algorithm can be applied in engineering to process transformer’s partial discharge signals.

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