• 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