基于小波神经网络的电网故障诊断研究  

Research of Power Network Fault Diagnosis Based on Wavelet Neural Network

作　　者：朱俊敏[1] 景利学[1] 饶克克[1] 

机构地区：[1]兰州交通大学自动化与电气工程学院,甘肃兰州730070

出　　处：《电气开关》2011年第6期23-25,共3页Electric Switchgear

基　　金：甘肃省教育厅硕士生导师项目(编号:619011)

摘　　要：分析了小波神经网络的基本原理,将小波神经网络引入到电网故障诊断并在4母线系统进行了测试。仿真结果表明,该方法具有很好的故障诊断能力,与基于BP神经网络的电网故障诊断方法相比,基于小波神经网络的电网故障诊断方法原理简单、诊断效果更为理想。The principle of wavelet neural network is analyzed. The wavelet neural network is lad to power network fault diagnosis and tested on four bus-bar systems. The simulation results show that the method is of fine fault diagrmesis ability. The power fault diagnosis method based on wavelet neural network has simple principle and better result compared with the method based on BP neural network.

关 键 词：小波神经网络 故障诊断 BP神经网络 

分 类 号：TM71[电气工程—电力系统及自动化]