Title :
State Assessment System of Power Transformer Equipments Based on Data Mining and Fuzzy Theory
Author :
Zhong Wenhui ; Sun Yixue ; Xu Min ; Liu Jingping
Author_Institution :
Sch. of Inf. Eng., Nanchang Univ., Nanchang, China
Abstract :
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.
Keywords :
data mining; fuzzy set theory; maintenance engineering; power apparatus; power engineering computing; power grids; power transformers; data mining; fuzzy comprehensive evaluation; fuzzy theory; power transformer equipments; repairing; software platform; state assessment system; state power grid; statistics-based association rule mining; transformation condition-based maintenance equipment; Association rules; Data mining; Data preprocessing; Fuzzy systems; Power grids; Power system modeling; Power transformers; Software maintenance; Software standards; Software testing; Condition-Based Maintenance (CBM); Data Mining; Fuzzy Theory; power transformer equipment;
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
DOI :
10.1109/ICICTA.2010.308
