• DocumentCode
    2255881
  • Title

    Combination wavelets and artificial intelligent for classification and detection transient overvoltage

  • Author

    Baki, S. R Shah ; Abdullah, M.Z. ; Abidin, A.F.

  • Author_Institution
    Univ. Technol. Mara, Selangor, Malaysia
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    177
  • Lastpage
    180
  • Abstract
    This paper describes a new method for classification of transient disturbance via fuzzy logic incorporated with wavelet processing. The transient is one of the major causes of power quality issues that have been experienced by the utility and consumer parties. The ability of a wavelet to detect the transient disturbance is being exposed. Finally, the fuzzy logic MATLAB is being proposed as a classification tool to differentiate between oscillatory and impulsive transient. This paper is an initial step towards auto-detecting the real-time power quality classification in a real time monitoring system.
  • Keywords
    artificial intelligence; computerised monitoring; fuzzy logic; overvoltage; power engineering computing; power supply quality; power system measurement; power system transients; real-time systems; wavelet transforms; classification tool; fuzzy logic; fuzzy logic MATLAB; impulsive transient; oscillatory transient; power quality; real time monitoring system; transient overvoltage detection; wavelet processing; Artificial intelligence; Fuzzy logic; Lightning; MATLAB; Monitoring; Power quality; Power system transients; Real time systems; Transient analysis; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Research and Development, 2002. SCOReD 2002. Student Conference on
  • Print_ISBN
    0-7803-7565-3
  • Type

    conf

  • DOI
    10.1109/SCORED.2002.1033086
  • Filename
    1033086