• DocumentCode
    1754111
  • Title

    Support Vector Machine for Classification and its Application to the Small Current Grounding Fault Line Detection in Peterson-Coil-Grounding System

  • Author

    Yan-wen, Wang ; Fei, Long ; Zhong-xiang, Zuo

  • Author_Institution
    China Univ. of Min. & Technol., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    727
  • Lastpage
    730
  • Abstract
    In Peterson-coil-grounding system(PCGS), the electric parameters in grounding fault have different electric characteristics, and the working situation of PCGS can be recognized by electric parameters of system. In this paper, support vector machines for classification(SVMC)are used to recognize the working situation of PCGS and to detect the fault line or bus. Simulation results show that the method is effective, accurate and can effectively improve the accuracy of fault lines, has some practical value.
  • Keywords
    earthing; support vector machines; PCGS; Peterson coil grounding system; SVMC; current grounding fault line detection; fault line detection; support vector machine for classification; Circuit faults; Coils; Grounding; Kernel; Pattern recognition; Support vector machines; Training; ground fault line detection; pattern recognition; power system; support vector machines for classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.189
  • Filename
    5750723