期刊文献+

用RBF网络预测基于微波辐射的绝缘子等值盐密 被引量:1

Forecasting the ESDD of Insulator Base on Microwave Radiation with RBF Network
下载PDF
导出
摘要 介绍了利用微波辐射计检测高压绝缘子等值盐密的基本原理,并在对受污绝缘子进行试验研究的基础上,针对天线温度与等值盐密、环境湿度和温度之间复杂的非线性关系,利用径向基神经网络(RBF),建立了以绝缘子天线温度、污层厚度、环境湿度、温度作为输入变量,以绝缘子表面等值盐密作为输出变量的预测模型,并通过试验数据验证了模型的有效性。对于污秽等级的区分和污区分布图的修订具有一定的参考价值。 In this paper,the basic principle of detecting high voltage insulator equivalent salt deposit density(ESDD) using microwave radiometer is introduced.Based on artificial pollution test of the contaminated insulator,aiming at the complicated nonlinear relationship between the antenna temperature and various factors,antenna temperature,contamination thickness,air humidity and environmental temperature are chosen as the input,the ESDD is chosen as the output,and the prediction model using radial basis function(RBF) network is built.The feasibility of the method is proved by the test data,which is of great value for providing technical references to distinguish pollution classes and amendment pollution areas map.
出处 《电力科学与工程》 2010年第9期23-26,共4页 Electric Power Science and Engineering
关键词 RBF网络 天线温度 等值附盐密度 绝缘子污秽 radial basis function(RBF) network antenna temperature equivalent salt deposit density insulators contamination
  • 相关文献

参考文献10

二级参考文献56

共引文献130

同被引文献10

引证文献1

二级引证文献4

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部