摘要
对实际中需要进行分类判别的对象建立识别网络模型是十分重要的,在电力系统中,变压器作为不可或缺的重要组成部分,根据其运行数据,判断其故障状态局有重要意义。本文将PNN算法用于变压器故障类型诊断,通过对PNN网络的学习,得到变压器故障类型诊断的系统网络。
Object classification and discrimination in practice needs to be established to identify the network model is very important in the power system. Transformer as an important integral part, according to its operational data to determine its fault state office is important. This article diagnosises the type of transformer fault with PNN algorithm, through the PNN network learning system to get the type of network transformer fault diagnosis.
出处
《自动化技术与应用》
2016年第10期80-82,共3页
Techniques of Automation and Applications
关键词
变压器
PNN
故障诊断
仿真
transformer
PNN
troubleshooting
simulation
