摘要
根据天线理论与微波辐射测量原理,在基于实际工况条件下,对自然污秽绝缘子进行了长期试验研究。通过大量的试验数据,分析了环境温度和湿度对污秽绝缘子微波辐射特性的影响。在消除环境温度和天空温度的条件下,重点研究了大气湿度对污秽绝缘子表面发射率的影响。实验数据表明绝缘子表面发射率与环境湿度比天线温度与环境湿度之间有更好的对应关系。最后建立了天线温度的神经网络预测模型,为工程应用提供了一定的参考。
According to the theory of antenna and microwave radiometry,naturally contaminative insulators are tested in the operation conditions.The influence of temperature and air humility on radiation characteristic of contaminative insulators are analyzed through a large number of test data.The testing result shows that correspondence between medium emission rate and air humidity is better than that between antenna temperature and air humidity when ambient temperature and sky temperature were removed.A antenna temperature forecasting model based on artificial neural network(ANN) is established,and that provides the reference basis for engineering applications.
出处
《微波学报》
CSCD
北大核心
2010年第5期92-96,共5页
Journal of Microwaves
关键词
绝缘子污秽
环境温度
湿度
天线温度
发射率
人工神经网络
Insulators contamination
Ambient temperature
Humidity
Antenna temperature
Emission rate
Artificial neural network