摘要
针对绝缘子人工污秽实验数据,从信息融合的角度出发,设计了一种基于模糊推理系统(FIS)的污闪状态识别系统。该系统综合考虑了泄漏电流的均值、脉冲频次、电流最大值以及环境相对湿度等特征信息,并借鉴了此前有关研究结论。检验、分析结果表明该系统能够很好的识别出污闪状态,给出相应的风险警示值,比较适合污闪数据的分析和处理。这对于污闪的预防和识别具有一定的意义。
In this paper,a fuzzy inference system is built for recognizing and judging flashover stages of contaminated insulators through data obtained from artificial contamination test.The information implicated in mean value,pulse frequency,maximum value of leakage current and relative humidity was merged in this FIS,and some former results made by other researchers were considered too.The checking result shows that the FIS can recognize the stages of flashover and can output the risk value with good precision directly.So this method is more suitable for analyzing the data of flashover and is positive for building the flashover predicting system through monitoring corresponding data.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第35期230-232,242,共4页
Computer Engineering and Applications
基金
航空基金项目(No.04F53036)。
关键词
模糊推理
泄漏电流
污闪
污秽绝缘子
fuzzy inference
leakage current
flashover
contaminated insulators
