State Assessment System of Power Transformer Equipments Based on Data Mining and Fuzzy Theory

摘要

The state assessment system of power transformer equipments based on data mining and fuzzy theory is introduced briefly in this article. The statistics-based association rule mining will be used as data preprocessing method. Assess model of power transformer equipments is created according to standards of Transformation Condition-Based Maintenance equipment which is carried out by State Power Grid on May 1, 2005, test data are treated with fuzzy comprehensive evaluation, then a software platform that includes functionality to collect and store experimental data, analyze data and trend, generate assessment report and put forward suggestions on repairing of transformer equipment status is built.