计及罕见变量的配电电缆线路故障风险预警方法

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Abstract In this paper, the association rule mining (ARM) algorithm is applied to the fault risk warning of distribution cable lines. To further improve the prediction effect, an association rule mining method that takes into account rare variables is proposed. Firstly, the importance threshold of the traditional ARM algorithm is improved for the distribution of faults in different seasonal periods, so that the risk elements in rare seasonal periods can also be mined. Secondly, according to the distribution of rare elements under different environmental characteristics, the traditional form of important diagnostic criteria calculation method is improved, so that it can effectively respond to the influence of rare environmental elements. Finally, the proposed method is compared with the traditional ARM algorithm by example simulation, and the simulation results show that the proposed method has better accuracy and feasibility.

Key words： cable line faults association rule mining (ARM) rare time periods rare environmental elements fault risk warning

Received: 23 March 2023

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	Articles by authors
	DONG Zhang
	LI Siyao
	CHEN Yani
	LIU Hui
	HE Ming

Cite this article:

DONG Zhang,LI Siyao,CHEN Yani等. Distribution cable line fault risk warning method with rare variables[J]. Electrical Engineering, 2023, 24(5): 35-40.

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https://dqjs.cesmedia.cn/EN/Y2023/V24/I5/35

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