• DocumentCode
    998470
  • Title

    Recognizing animal-caused faults in power distribution systems using artificial neural networks

  • Author

    Chow, Mo-Yuen ; Yee, Sue O. ; Taylor, Leroy S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    8
  • Issue
    3
  • fYear
    1993
  • fDate
    7/1/1993 12:00:00 AM
  • Firstpage
    1268
  • Lastpage
    1274
  • Abstract
    Artificial neural networks are used to recognize the causes of faults in power distribution systems, based on fault currents information collected for each outage. Actual field data are used. The methodology and implementation of neural networks and fuzzy logic for the identification of animal-caused distribution faults are presented. Satisfactory results are obtained, and the developed methodology can be easily generalized and used to identify other causes of faults in power distribution systems.<>
  • Keywords
    distribution networks; fault currents; fault location; fuzzy logic; neural nets; power system analysis computing; animals; artificial neural networks; distribution systems; fault currents; fault location; fuzzy logic; outage; power system analysis computing;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.252652
  • Filename
    252652
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=998470