• DocumentCode
    1681697
  • Title

    Probabilistic approach of a decision tree to fault diagnosis on power distribution lines

  • Author

    Togami, M. ; Abe, N. ; Kitahashi, T. ; Ogawa, H.

  • Author_Institution
    Nagoya MFG, Japan
  • fYear
    1999
  • Firstpage
    129
  • Abstract
    A method for creating decision trees, which the authors propose in this paper, can distinguish power distribution line fault examples whose attribute value is disjunction in area even when value range of two optional categories are not disjoint to each other. This method can estimate which category a given example belongs to and how much the possibility is.
  • Keywords
    decision trees; fault diagnosis; power distribution faults; power distribution lines; power distribution reliability; decision tree; fault diagnosis; power distribution lines; probabilistic approach; Artificial neural networks; Classification tree analysis; Conductors; Decision trees; Diagnostic expert systems; Distributed computing; Fault diagnosis; Machine learning; Power distribution lines; Power system faults;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Engineering, 1999. PowerTech Budapest 99. International Conference on
  • Conference_Location
    Budapest, Hungary
  • Print_ISBN
    0-7803-5836-8
  • Type

    conf

  • DOI
    10.1109/PTC.1999.826560
  • Filename
    826560