Abstract
At present, the fault diagnosis information of the middle and low voltage distribution network is insufficient and scattered, and the fault diagnosis and positioning of the low and low pressure synthesis is urgently needed for the comprehensive utilization of power distribution automation, metering automation and 95598 customer service report. This paper carried out based on the large data of low voltage intelligent fault diagnosis and positioning analysis, further enhance the fault of the distribution and grab the dispatcher commander and people with disabilities positioning analysis efficiency, improve the level of fault disposal of the lean management.
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Hua, J., Zhou, YP., Xiong, W., Niu, L., Zhao, X. (2020). Intelligent Diagnosis of Middle and Low Voltage Distribution Network Fault Based on Big Data. In: Xu, Z., Choo, KK., Dehghantanha, A., Parizi, R., Hammoudeh, M. (eds) Cyber Security Intelligence and Analytics. CSIA 2019. Advances in Intelligent Systems and Computing, vol 928. Springer, Cham. https://doi.org/10.1007/978-3-030-15235-2_122
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DOI: https://doi.org/10.1007/978-3-030-15235-2_122
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