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- W2781819923 abstract "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." @default.
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- W2781819923 date "2017-10-01" @default.
- W2781819923 modified "2023-10-03" @default.
- W2781819923 title "Study on fault diagnosis of electric energy data acquire system based on the BP neural network" @default.
- W2781819923 doi "https://doi.org/10.1109/cac.2017.8242772" @default.
- W2781819923 hasPublicationYear "2017" @default.
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