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基于K两端聚类的污秽绝缘子放电状态评估
引用本文:杜念,黄建才,朱永利.基于K两端聚类的污秽绝缘子放电状态评估[J].电瓷避雷器,2011(4):23-28.
作者姓名:杜念  黄建才  朱永利
作者单位:华北电力大学控制与计算机工程学院,河北保定,071003
基金项目:国家自然科学基金项目(编号:60974125)
摘    要:沿面放电是绝缘子污秽程度及运行状态的重要体现,实时掌握绝缘子的污秽放电状态对污闪的预防具有重大意义.根据污秽绝缘子在放电过程中泄漏电流的波形变化以及放电区段的划分特点,提出了一种基于K两端聚类的动态划分方法.分析污秽绝缘子在运行中受潮、形成干燥带及局部电弧、局部电弧发展至极端闪络的全过程,并依据绝缘子运行中工作电压和泄...

关 键 词:绝缘子  泄漏电流  聚类  状态评估  污秽放电区段  支持向量机

Discharge Condition Assessment of Polluted Insulator Based on K-two-end Clustering
DU Nian,HUANG Jian-cai,ZHU Yong-li.Discharge Condition Assessment of Polluted Insulator Based on K-two-end Clustering[J].Insulators and Surge Arresters,2011(4):23-28.
Authors:DU Nian  HUANG Jian-cai  ZHU Yong-li
Affiliation:DU Nian,HUANG Jian-cai,ZHU Yong-li(Control and Computer Engineering,North China Electric Power University,Baoding 071003,China)
Abstract:Discharge along the surface is the important reflection of pollution level and operating condition of insulator.Real-time monitoring pollution discharge condition plays an important role in the prevention of flashover accident.In accordance with leakage current waveforms variation during the polluted insulator discharge process and the division features of the discharge section,a dynamic division method based on K-two-end clustering is presented.The whole course of polluted insulator in service is analyzed,...
Keywords:insulator  leakage current  clustering  condition assessment  pollution discharge zone  support vector machine  
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