摘要
提出并研究了电力变压器故障诊断的人工神经网络方法。根据变压器故障诊断问题的特点,采用神经网络分块技术,将网络的输入、输出分别与故障症状和故障类型相对应,建立了故障诊断的神经网络模型,并对故障实例进行了测试验证。计算结果证明了这种方法的有效性和潜在的应用价值。
A neural network approach to power transformer fault diagnosis is proposed in this paper. According to the characteristics of transformer fualt diagnosis, a neural network model with two separated neural nets for fault diagnosis is built, in which the inputs and outputs of networks are relative to fault symptoms and fault types separately. The test results show the effectiveness and the potential practical valu-ableness of this approach.
出处
《电力系统自动化》
EI
CSCD
北大核心
1993年第8期33-38,43,共7页
Automation of Electric Power Systems
关键词
电力变压器
故障
人工
神经网络
Power Transformer, Fault Diagnosis, Artificial Neural Network
