• DocumentCode
    1777246
  • Title

    Study on state evaluation of high voltage switchgear based on sudden-change component of fuzzy clustering algorithm

  • Author

    Jing Xie ; Hongchun Shu ; Ke Wang

  • Author_Institution
    Sch. of Electr. Eng., Kunming Univ. of Sci. & Technol., Kunming, China
  • fYear
    2014
  • fDate
    20-22 Oct. 2014
  • Firstpage
    1238
  • Lastpage
    1244
  • Abstract
    Fuzzy clustering algorithm is proposed for a high voltage switchgear state evaluation, In order to make the evaluation results have comparability, the algorithm uses invariant center for clustering method, and it can directly cluster samples without prior information. The data of live detection using sudden-change component in order to reduce the disturbance to the surrounding electromagnetic environment was accepted. The feasibility and effectiveness of the algorithm was verified by real data in transformer substation.
  • Keywords
    fuzzy set theory; pattern clustering; power engineering computing; switchgear; electromagnetic environment; fuzzy clustering algorithm; high voltage switchgear state evaluation; live detection; sudden-change component; transformer substation; Clustering algorithms; Inspection; Interference; Maintenance engineering; Substations; Switches; Switchgear; Fuzzy C-means Clustering Means; High Voltage Switchgear; State Evaluation; Sudden-change component;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power System Technology (POWERCON), 2014 International Conference on
  • Conference_Location
    Chengdu
  • Type

    conf

  • DOI
    10.1109/POWERCON.2014.6993532
  • Filename
    6993532