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Abstract
Distribution network emergency repair is the most important work in power supply service and production management. Active emergency repair is an important way to improve the efficiency of emergency repair command. In this paper, we investigate the outage data of private and public transformer in the electric power information collection system. By using data mining technology, we build the relationship between outage data and actual line faults. A real fault identification model based on the detailed outage data of private and public transformer is established, which can quickly and accurately identify real faults and facilitate maintenance personnel to take timely measures, and achieve active emergency repair.
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