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.
2023, Vol. 24 
