【摘要】 为了实现快速而准确的电网故障诊断,利用广义回归神经网络(GRNN)在逼近能力、分类能力和学习速度方面的优势,建立了基于GRNN的电网故障诊断模型.仿真分析表明:在输入信息因干扰而畸变的情况下,文中所构造的模型能够快速、正确地实现电网的故障诊断;在电网拓扑结构改变的情况下,该模型也具有良好的自适应能力.更多还原

【Abstract】 In order to realize fast and correct fault diagnosis in electric network,this paper presents a novel fault diagnosis model employing the abilities of GRNN(General Regression Neural Network) in approximation,classification and learning.Simulated results demonstrate that the proposed model not only can make fast and accurate diagnoses with good fault-tolerance performance,but also possesses excellent self-adaptive ability for various topological structures of electric network.更多还原