DocumentCode
3760200
Title
Power equipment reliability evaluation based on data mining
Author
Sipeng Hao;Jitao Zhang;Shaofan Liu;Dong Wang;Can Huang
Author_Institution
School of electrical power engineering, Nanjing institute of technology, Nanjing, China
fYear
2015
Firstpage
699
Lastpage
703
Abstract
Electrical power equipment reliability is the basis of the stability operation of distribution network. Equipment reliability includes inherent reliability and operational reliability. Inherent reliability focus on familial defects. Operational reliability focus on meteorological, load rate and others. This paper evaluates power equipment reliability based on integration platform of Jiangsu province electric power company. The inherent reliability and operational reliability are researched separately. The quantitative relationship between fault and condition is researched based on data mining. Weighting coefficients is calculated to combine different factors. On this basis, the reliability evaluation model is constructed and develop the relative software. Operation shows that power equipment reliability evaluation system has engineer applicability and practicality.
Keywords
"Software reliability","Data mining","Decision support systems","Power industry","Stability analysis","Power systems"
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), 2015 5th International Conference on
Type
conf
DOI
10.1109/DRPT.2015.7432325
Filename
7432325
Link To Document