Defect Analysis of Secondary Equipment Based on Power Dictionary and Apriori Algorithm

Abstract

In order to improve the operation level and maintenance efficiency of the secondary equipment in the power system, based on the historical defect data, starting from the efficiency of data processing, power system need to build electricity dictionary. In the process of describing and processing the defect data, based on the electric power dictionary, the key characteristics of the defect data can be effectively extracted. From the perspective of data mining, this paper use Apriori algorithm to correlate and analyze the defect data, establish a analysis model for the secondary equipment defect data. Take a provincial electric power company’s secondary equipment historical defect data mining as an example, describes the application process and analysis method of Apriori algorithm. The results show that the algorithm can effectively dig out familial defects and find the weakness of the equipment, it has a certain guiding role for the improvement of equipment performance and secondary equipment operation, maintenance and overhaul.