State Assessment System of Power Transformer Equipments Based on Data Mining and Fuzzy Theory
The state assessment system of power transformer equipments based on data mining and fuzzy theory is intro duced briefly in this article. The statistics-based association rule mining will be used as data preprocessing method. As sess model of power transformer equipments is created ac cording to standards of Transformation ConditionBased Maintenance equipment which is carried out by State Power Grid on May 1, 2005, test data are treated with fuzzy com prehensive evaluation, then a software platform that in cludes 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.
Condition-Based Maintenance (CBM) Data Mining power transformer equipment Fuzzy Theory
ZHONG Wenhui SUN Yixue XU Min LIU Jingping
School of Information Engineering, Nanchang University, Nanchang, 330031, China Jiangxi Vocational & Technical College of Electricity Nanchang, 330032 China Jiangxi Jian Power Supply Company, Jian, 340000, China
国际会议
长沙
英文
2734-2737
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）