On-line Forecasting Insulator’s ESDD with Least Squares Support Vector Machine

SHI Li-ping; ZHU Yan-hua; ZHU Ning-tan

doi:10.13296/j.1001-1609.hva.2013.04.017

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On-line Forecasting Insulator’s ESDD with Least Squares Support Vector Machine

更新时间：2025-04-26

- On-line Forecasting Insulator’s ESDD with Least Squares Support Vector Machine
- High VoltageApparatus Vol. 49, Issue 4, Pages: 82-85(2013)
- 作者机构：
  
  中国矿业大学信息与电气工程学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2013.04.017
  CLC： TM216
- Published：2013
- 稿件说明：
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[1]史丽萍,祝艳华,朱宁坦.应用最小二乘支持向量机在线预测绝缘子等值附盐密度[J].高压电器,2013,49(04):82-85.

SHI Li-ping, ZHU Yan-hua, ZHU Ning-tan. On-line Forecasting Insulator’s ESDD with Least Squares Support Vector Machine[J]. High voltageapparatus, 2013, 49(4): 82-85.
[1]史丽萍,祝艳华,朱宁坦.应用最小二乘支持向量机在线预测绝缘子等值附盐密度[J].高压电器,2013,49(04):82-85. DOI： 10.13296/j.1001-1609.hva.2013.04.017.

SHI Li-ping, ZHU Yan-hua, ZHU Ning-tan. On-line Forecasting Insulator’s ESDD with Least Squares Support Vector Machine[J]. High voltageapparatus, 2013, 49(4): 82-85. DOI： 10.13296/j.1001-1609.hva.2013.04.017.

摘要

污秽等级评定方法是绝缘子泄漏电流在线监测系统的重要研究内容

等值附盐密度是确定污秽等级的唯一依据

而泄漏电流与绝缘子表面污秽状况密切相关。笔者采用最小二乘支持向量机（LS-SVM）方法

建立以泄漏电流有效值、泄漏电流峰值、脉冲电流次数、环境湿度、温度5个变量作为输入参数

ESDD作为输出参数的智能预测模型。实验结果表明

该方法有效、模型预测精度高

能实现绝缘子表面污秽程度在线评估。

Abstract

The method of contamination grades assessment is very important content for the on-line leakage current（LC）monitoring system of insulator

however the equivalent salt deposit density（ESDD）is the only basis of defining pollution classes

and leakage current is strongly correlated to the contamination condition of insulator surface.Based on experimental data

it is investigated to build a intelligent model to predict ESDD with the least squares support vector machine（LS-SVM）in this paper.The r.m.s.value of the LC

the peak value of the LC

the amplitude and times of the pulses of the LC

environmental humidity and temperature are chosen as five input variables

the value of ESDD is chosen as one output variable.Experimental results show that the method is effective

the model has high forecast accuracy

and on-line evaluation method of insulator surface contamination can be realized.

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Study on the Characteristics of High Frequency Leakage Current of Contaminated Insulator

Development of a Leakage Current Monitoring System for Pollution Test Lab

Leakage Current Monitoring System for Iced Insulators Base on Fiber Optic Transmission

Summary of the Transmission Line Insulator Leakage Current Characteristics Extraction

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Related Institution

School of Electrical Engineering and New Energy, Three Gorges University

Graduate School at Shenzhen, Tsinghua University

Department of Electrical Engineering, Tsinghua University

北京100084

清华大学深圳研究生院能源与电工新技术实验室

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