基于小波神经网络的绝缘子漏电量预测方法

Predicting Creepage Quantity of Insulator Based on Wavelet Neural Network

针对绝缘子漏电量的大惯性、非线性等特点,提出了基于小波神经网络的预测模型,分析了网络的拓扑结构,给出了网络学习方法,并通过实例证明该方法的有效性。

Aiming at inertia and nonlinearity of creepage quantity of insulator,a predicted model was put forward based on wavelet neural network.Topological structure of network was analyzed.Learning method was proposed.Experimental results show that the new algorithm is effective in predicting creepage quantity of insulator.