The Fault Diagnosis of Electric Power Metering System Based on Momentum BP Neural Network

被引:2
作者
Yang, Zhang Yue [1 ]
Jun, Zhao Jian [1 ]
Wei, Liang [1 ]
机构
[1] Henan Univ, Kaifeng City, Henan Province, Peoples R China
来源
MECHANICAL COMPONENTS AND CONTROL ENGINEERING III | 2014年 / 668-669卷
关键词
high voltage electric power metering system; fault diagnosis; artificial neural network; momentum BP algorithm;
D O I
10.4028/www.scientific.net/AMM.668-669.724
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Momentum BP neural network is used to diagnose the fault of high voltage electric power metering system according to the advantage of strong self-adaptation. First of all, the information of 7 operation parameters of metering system is extracted as input values of the neural network, secondly, we collect samples to train and test BP network and use 4-bit binary number to represent the normal circumstance and 7 main fault types, The results show that the momentum BP network model is effective in the fault diagnosis of high voltage electric power metering system.
引用
收藏
页码:724 / 728
页数:5
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