• DocumentCode
    3316657
  • Title

    An application of the L-Fuzzy Concept Theory to the short-circuit detection

  • Author

    Alcalde, C. ; Burusco, A. ; González, R. Fuentes ; Zubia, I.

  • Author_Institution
    Escuela Univ. Politecnica, San Sebastian
  • fYear
    2007
  • fDate
    23-26 July 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    There are many technical areas where we can find an application of the L-fuzzy concept theory to the knowledge extraction. Among them, one that seems of special interest is the diagnosis of failures by means of the study of an interval-valued L-fuzzy context. We will concentrate on in the electrical networks and we will construct an interval-valued L-fuzzy context that we will use, when a short-circuit is detected, to determine in what place it has occurred. It will be an alternative to the traditional method of detection of short-circuits by means of relays. In particular, the diagnosis of the short-circuits produced in the electrical network will be analysed in this paper in two different cases: in the first place we will solve the problem in the case of having all the necessary information. Next, we will see how we can obtain a diagnosis when the measurement of the voltages obtained after the short-circuit has taken place is not complete.
  • Keywords
    fault diagnosis; fuzzy set theory; power system faults; relays; short-circuit currents; L-fuzzy concept theory; electrical networks; failures diagnosis; knowledge extraction; relays; short-circuit detection; Data mining; Earth; Fault diagnosis; Feeds; Fuzzy sets; Impedance; Information analysis; Lattices; Relays; Voltage measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
  • Conference_Location
    London
  • ISSN
    1098-7584
  • Print_ISBN
    1-4244-1209-9
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2007.4295425
  • Filename
    4295425