神经网络输电线路覆冰厚度预测

Discussion on Forecast of Ice Thickness on Transmission Lines Based on Neural Network

介绍了输电线路覆冰厚度计算的相关经典模型,并以PNN网络与GRNN网络为例,探讨了输电线路覆冰厚度智能检测模型。通过对模型实现、对比,分析了两种网络的优缺点,在此基础上提出综合使用两种网络的思路,以提高输电线路覆冰厚度预测的精度,减少覆冰对电网的直接和潜在危害。

the Intelligent Detection Model on the thickness of ice on transmission lines is studied based on Fuzzy Neural Network （FNN） and General Regression Neural Network （GRNN） in my work. After that, the advantages and disadvantages are compared between FNN and GRNN, and the integrated use of two neural networks is proposed to improve the prediction accuracy of the thickness of ice on transmission lines and to reduce ice damage to transmission lines.