Study on fault diagnosis of electric energy data acquire system based on the BP neural network

被引：0
|
作者：
Du Yan [1 ]
Wang ZheLong [1 ]
Li CongCong [1 ]
Zhu HongXia [1 ]
Jian, Liu Xi [2 ]
机构：
[1] State Grid Shandong Elect Power Res Inst, Jinan, Shandong, Peoples R China
[2] ZhongShi YiTong Grp, Jinan, Shandong, Peoples R China
来源：
2017 CHINESE AUTOMATION CONGRESS (CAC) | 2017年
关键词：
electric energy data acquire system; BP neural network; fault database; self-learning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper using BP neural network as core algorithm, Java and MATLAB as development tools,build a fault intelligent analysis system of electric energy data acquire nebvork which have machine self-learning ability. This diagnosis system adopts the model of cloud computing in structure, artificial intelligence calculation in the cloud, friendly human computer interaction at the front-end. Lab simulation results showed that the system can analyze quickly and locate the fault point accurately. It can effectively reduce labor, time cost, improve work efficiency, has high practical value.
引用
收藏
页码：251 / 254
页数：4
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