• DocumentCode
    2466966
  • Title

    Distribution communication substructure fault analysis by data mining

  • Author

    Eini, Bahman Jamshidi ; Asl, Mofid Ahmadi ; Vasigh, Reza ; Shafiei, H.

  • Author_Institution
    Alborz PPDC, Sharif Univ. of Technol., Tehran, Iran
  • fYear
    213
  • fDate
    10-13 June 213
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The communication between control centers, contact centers, field technicians and customers have been changed in previous decade and traditional analogue communication devices have been being replaced by integrated digital systems. Nowadays communication and computer network substructures are vital to distribution companies because communication system interruption can disrupt majority of services. Therefore, it is necessary to control any situation which can threat communication system. Alborz province power distribution company uses data mining methods like classification and clustering in addition to quantitative statistics for analyzing historical fault data. The result of this study is useful for evaluating the effect of investment on reducing system disruption. In this paper, after introducing methods which were used in this study, the concise result of data mining was presented.
  • Keywords
    computer networks; data analysis; data mining; investment; power distribution faults; power engineering computing; Alborz province power distribution company; analogue communication devices; communication system; computer network substructures; data mining methods; distribution communication substructure fault analysis; historical fault data analysis; integrated digital systems; investment effect evaluation; quantitative statistics;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Electricity Distribution (CIRED 2013), 22nd International Conference and Exhibition on
  • Conference_Location
    Stockholm
  • Electronic_ISBN
    978-1-84919-732-8
  • Type

    conf

  • DOI
    10.1049/cp.2013.0588
  • Filename
    6683191