Polar Spectrum of Partial Discharge and Pattern Recognition

HUANG Jianhua; GUI Junfeng; CHEN Xiyang; GAO Shengyou; LIN Jianhua; WANG Yubin; XIA Yunfeng

doi:10.13296/j.1001-1609.hva.2015.07.019

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Polar Spectrum of Partial Discharge and Pattern Recognition

更新时间：2025-04-26

- Polar Spectrum of Partial Discharge and Pattern Recognition
- High VoltageApparatus Vol. 51, Issue 7, Pages: 97-101(2015)
- 作者机构：
  
  1. 广东电网公司东莞供电局
  2. 北京交通大学电气工程学院
  3. 清华大学电机系电力系统及发电设备控制和仿真国家重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2015.07.019
  CLC： TM83
- Published：2015
- 稿件说明：
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[1]黄健华,桂峻峰,陈锡阳,高胜友,林建华,王宇斌,夏云峰.局部放电的极坐标谱图及模式识别[J].高压电器,2015,51(07):97-101.

HUANG Jianhua, GUI Junfeng, CHEN Xiyang, et al. Polar Spectrum of Partial Discharge and Pattern Recognition[J]. High voltageapparatus, 2015, 51(7): 97-101.
[1]黄健华,桂峻峰,陈锡阳,高胜友,林建华,王宇斌,夏云峰.局部放电的极坐标谱图及模式识别[J].高压电器,2015,51(07):97-101. DOI： 10.13296/j.1001-1609.hva.2015.07.019.

HUANG Jianhua, GUI Junfeng, CHEN Xiyang, et al. Polar Spectrum of Partial Discharge and Pattern Recognition[J]. High voltageapparatus, 2015, 51(7): 97-101. DOI： 10.13296/j.1001-1609.hva.2015.07.019.

摘要

为了对电缆的局部放电试验结果进行分析

文中提出了一种利用放电信号的脉冲幅值q与相位角φ的余弦和正弦函数乘积绘制极坐标谱图的方法

指出了该谱图的特点。结合3种电缆接头放电模型的试验结果

分析了不同放电类型的谱图特征。提取了极坐标谱图的若干有关分布和对称的特征信息

形成了16维的特征向量

用人工神经网络方法进行了放电的模式识别研究。

Abstract

In order to analyze the data from partial discharge test of cable

the polar spectrum is drawn from multiplying the pulse amplitude by cosine and sine of phase angle. Advantage of this spectrum is present.According to the test results of 3 kinds of cable joint model

spectrum characteristics of different discharge type are studied. 16 characteristic values of polar spectrum about distribution and symmetry are calculated for the feature vector. Method of artificial neural network is used to study the pattern recognition of partial discharge.

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Related Institution

The Key Laboratory of High Voltage Engineering and Electrical New Technology,Ministry of Education,Chongqing University

重庆大学高电压与电工新技术教育部重点实验室重庆 400044

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