Defect Analysis of Power System Secondary Equipment Based on Cluster Analysis and Association Rule

In order to effectively improve the operation level of secondary equipment in the power system, based on the historical defect data of the secondary equipment, this paper takes the mining of the correlation between the secondary equipment defect data as the starting point, it proposes a method that combines cluster analysis and association analysis. First, this paper analyzes the basic ideas of cluster analysis and association analysis, then establishes the defect analysis model of the secondary equipment of this method. In the model, it uses cluster analysis to classify defect data firstly, clustering related defect data into a cluster, then uses association rules for further defect analysis. The result shows, this method can quickly and effectively dig out the correlation between defect data, able to further analyze the family defects of secondary equipment, it can provide certain guidance for equipment maintenance and daily operation.