Transformer Defect Data Analysis Based on Data Mining Technology

Abstract

Using data mining technology to transformer operation analysis of the defects in the process of data mining, mainly for the entire network analysis of the defect data transformer account, defects, fault, environment and other information. Analysis mainly from the state information of equipment, equipment status, the relationship with their own attribute and the external environment, in order to obtain the associated factors influencing the equipment status, for the maintenance strategy optimization, equipment update strategy, manufacturers technical evaluation and other production and management decision-making to provide information support. Keywords-data mining; transformer; defect data I. INTRODUCTION The main transformer substation is one of the important equipment in power grid. Catastrophic failure of the main transformer often results in serious consequences and causes an emergency power outage events. The continuing power outage not only affects the people's daily life but also harms the quality of life. Therefore, during the main transformer selection, according to the different regions and climate, how to select the transformer is important, especially for the safety of the power grid. By analyzing a large number of main transformer operation defect data mining, this passage finds the fault conditions of various types of transformers obtained under various regions and in different climates, and provides reference and guidance for the selection and maintenance of transformer in different regions and climates. II. DATA MINING TECHNOLOGY BASED ON ASSOCIATION RULES