Study on fault diagnosis of electric energy data acquire system based on the BP neural network
Yan Du, Zhelong Wang, LI Cong-cong, Hongxia Zhu, Liu Xi Jian · 2017
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 network which have machine self-learning ability. This diagnosis system adopts the model of cloud computing in structure, artificial intelligence calculation in the cloud, friendly humancomputer 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.