摘要
本文将BP神经网络应用于变压器故障诊断。建立起学习样本集,提出了两种输入方式,并用它对神经网络进行训练。通过验证,结果显示该BPNN诊断法有良好的应用前景。
In this paper,that back propagation neural network (BPNN) is applied in transformer fault diagnosis is discussed.The teaching set of the BPNN has been set up with using chromatography records from many substations.Two types of inputting vector for this BPNN are presented and the training bas been made respectively.The results of verification show that the BPNN diagnosis method has a bright application prospect.
出处
《中国电机工程学报》
EI
CSCD
北大核心
1997年第5期322-325,共4页
Proceedings of the CSEE
关键词
变压器
BP神经网络
色谱监测
故障诊断
transformer\ \ back propagation neural network (BPNN)\ \ fault diagnosis method