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基于新型小波网络的输电线故障分类研究

Fault Classification in Transmission Lines Based on A New Wavelet Network
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摘要 基于小波框架的时频局部化性质,由高斯函数生成一组小波框架,采用自适应投影算法训练网络,构建了新型小波网络——径向基小波网络,并将此网络用于输电线短路故障分类中。经实际线路参数的仿真测试,证明了此方法具有所用训练样本少,不受各种运行因素的影响等优点,证明了它在故障分类中的有效性。 A new network-radial basis function wavelet network is proposed based on time-frequency localization properties of wavelet frames and the adaptive projection algorithm. A set of wavelet frame generated by Gaussian radial basis functions is presented. Applications to high voltage transmission lines are given. By the simulation , the validity of the method to a real system under different fault condition is researched ,and the result shows less training data.
作者 张春红 李天云
机构地区 东北电力大学
出处 《吉林电力》 2006年第3期18-21,共4页 Jilin Electric Power
关键词 径向基小波网络 短路 小波变换 radial basis function wavelet networks short-circuit wavelet transform
分类号 TM762.25 [电气工程—电力系统及自动化]
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吉林电力
2006年 第3期

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