Separation Method of GIS Multi-source Partial Discharge Signal Based on Time-frequency Similarity

GAO Jingbei; ZHOU Yuying; WU Jihao; LIU Yanmin; WANG Jianjun; WANG Tingting; GONG Jinxia

doi:10.13296/j.1001-1609.hva.2018.12.037

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Separation Method of GIS Multi-source Partial Discharge Signal Based on Time-frequency Similarity

更新时间：2025-04-26

- Separation Method of GIS Multi-source Partial Discharge Signal Based on Time-frequency Similarity
- High VoltageApparatus Vol. 54, Issue 12, Pages: 245-250(2018)
- 作者机构：
  
  1. 国网上海市电力公司培训中心
  2. 上海电力学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2018.12.037
  CLC： TM595
- Published：2018
- 稿件说明：
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[1]高敬贝,周毓颖,吴季浩,刘艳敏,王建军,王婷婷,龚锦霞.基于时频相似度的GIS多源局部放电信号分离方法[J].高压电器,2018,54(12):245-250.

GAO Jingbei, ZHOU Yuying, WU Jihao, et al. Separation Method of GIS Multi-source Partial Discharge Signal Based on Time-frequency Similarity[J]. High voltageapparatus, 2018, 54(12): 245-250.
[1]高敬贝,周毓颖,吴季浩,刘艳敏,王建军,王婷婷,龚锦霞.基于时频相似度的GIS多源局部放电信号分离方法[J].高压电器,2018,54(12):245-250. DOI： 10.13296/j.1001-1609.hva.2018.12.037.

GAO Jingbei, ZHOU Yuying, WU Jihao, et al. Separation Method of GIS Multi-source Partial Discharge Signal Based on Time-frequency Similarity[J]. High voltageapparatus, 2018, 54(12): 245-250. DOI： 10.13296/j.1001-1609.hva.2018.12.037.

摘要

文中提出一种基于时频分析的GIS多源局部放电信号脉冲分离方法。首先

对记录的GIS局部放电脉冲波形序列进行S变换时频分析

以提取典型局部放电脉冲的时间—频率—幅值特征。然后

与由单一典型局部放电缺陷模型构造的时频数据库进行混合

基于时频相似度分析和仿射聚类方法对记录的脉冲群进行快速分类

最终实现多局部放电源脉冲群的分离。在局部放电源个数未知的情况下

文中方法可判断出局部放电源的个数和放电类型。且该方法可抑制随机干扰源的影响

并可分离典型的脉冲扰动波形。

Abstract

In this paper

a new method based on time-frequency analysis for GIS partial discharge signals is proposed.Firstly

the time-frequency analysis of the GIS partial discharge pulse sequence is performed with S-transform

in order to extract the time-frequency characteristics of the recorded PD pulses.And then

the recorded PD pulses and their time-frequency sequence are mixed with the time-frequency database of single typical partial discharge model.Lastly

time-frequency similarity analysis and affinity propagation methods are used to separate the multiple partial discharge pulse group.Under the condition that the number of partial discharge sources is unknown

the proposed method can determine the number and discharge type of the recorded partial discharge signals.The method can also suppress the influence of random noise and separate the typical pulse disturbance waveform.

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