EXTRAPOLATION OF INSULATOR’S ESDD BASED ON CLIMATE FACTOR WITH ARTIFICIAL NEURAL NETWORK

ZHANG Han; WEN Xi-shan; DING Hui

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EXTRAPOLATION OF INSULATOR’S ESDD BASED ON CLIMATE FACTOR WITH ARTIFICIAL NEURAL NETWORK

更新时间：2025-04-26

- EXTRAPOLATION OF INSULATOR’S ESDD BASED ON CLIMATE FACTOR WITH ARTIFICIAL NEURAL NETWORK
- High VoltageApparatus Issue 6, Pages: 31-32+35(2003)
- 作者机构：
  
  1. 武汉大学电气工程学院
  2. 武汉大学电气工程学院湖北武汉 430072
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM216
- Published：2003
- 稿件说明：
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[1]张寒,文习山,丁辉.用神经网络预测基于气象因素的绝缘子等值附盐密度[J].高压电器,2003(06):31-32+35.

ZHANG Han, WEN Xi-shan, DING Hui. EXTRAPOLATION OF INSULATOR’S ESDD BASED ON CLIMATE FACTOR WITH ARTIFICIAL NEURAL NETWORK[J]. High voltageapparatus, 2003, (6): 31-32+35.
[1]张寒,文习山,丁辉.用神经网络预测基于气象因素的绝缘子等值附盐密度[J].高压电器,2003(06):31-32+35. DOI：

ZHANG Han, WEN Xi-shan, DING Hui. EXTRAPOLATION OF INSULATOR’S ESDD BASED ON CLIMATE FACTOR WITH ARTIFICIAL NEURAL NETWORK[J]. High voltageapparatus, 2003, (6): 31-32+35. DOI：

摘要

利用神经网络建立了温度、湿度、风速等主要气象因素与等值附盐密度之间关系的模型

并进行了现场数据拟合、迭代

验证了直接以气候数据来判断等值密度的可行性、实用性。这一方法不仅简单、有效

而且也为寻找污秽主要成因、提升绝缘子抗污闪能力提供了帮助。

Abstract

It is investigated to build a model that describes the relationship between climate factor and ESDD with Artificial Neural Network in the paper. Field data processing has been performed to validate the feasibility of evaluating ESDD by climate factor directly. It is an easy and effective way that can help to find the primary factor of pollution and improve the insulator’s ability of anti-pollution.

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