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

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.