摘要
就牵引馈线的自适应重合闸问题展开研究,提出了应用小波变换与人工神经网络相结合的方法来识别瞬时性故障与永久性故障,并应用Matlab软件进行了大量的仿真计算,仿真结果表明,应用小波变换与人工神经网络相结合的方法,故障识别的准确性较高,且没有误判现象。
This paper analyses adaptive auto-reclosure of tractive feeder, A method based on wavelet transform and artificial neural network is proposed to distinguish transient faults from permanent faults, MATLAB software is employed to put up much simulation calculation.A large number of simulation results show that the accuracy of identification of fault type is relatively high, and there is no wrong judgement with the wavelet transform,artificial neural network with the method based on wavelet transform associated with artificial neural network.
出处
《继电器》
CSCD
北大核心
2007年第14期33-37,共5页
Relay
关键词
自适应重合闸
小波变换
人工神经网络
牵引馈线
adaptive auto-reclosure
wavelet transform
artificial neural network tractive feeder
