The Classification of Local Discharge Degree of Switch Gear Based on New Association Rule Algorithm

In view of the limitations of the traditional ensemble Xi algorithm in the classification of partial discharge degree of switch gear, a research scheme of partial discharge degree classification based on a new association rule algorithm was proposed. Firstly, the influencing factors is accurately located through the frequent item set theory, and the indicators is reasonably divided to reduce interference, and a new association rule algorithm is used to construct a research scheme for the classification of local discharge degree. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional ensemble Xi algorithm in terms of the accuracy of local discharge degree classification and the processing time of influencing factors, and has obvious advantages. The classification of partial discharge degree plays an extremely important role in switch gear, which can accurately predict and optimize the growth characteristics and product generation of switch gear. However, traditional ensemble Xi algorithms have some limitations in solving degree classification simulation problems, especially when dealing with complex problems. In this paper, this paper proposes a research scheme on the classification of partial discharge degree based on a novel association rule algorithm to better solve this problem. In this scheme, the influencing factors is accurately located through the frequent item set theory, so as to determine the division of indicators, and a new association rule algorithm is used to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme based on the new association rule algorithm can better solve the limitations of the traditional ensemble Xi algorithm and improve the simulation accuracy and efficiency in the research on the classification of local discharge degree of switch gear.