• DocumentCode
    3472802
  • Title

    Diagnosis and identification of fault waveform of power

  • Author

    Youquan, He

  • Author_Institution
    Dept. of Comput. & Inf., Chongqing Jiaotong Univ., Chongqing
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    1678
  • Lastpage
    1682
  • Abstract
    The waveform of power system´s parameter is related closely to its status, it can reflects and foresees that curtain status and fault will occur in power system. In this paper chaos and fractal theory is used to analyze parameter waveform, abstract characteristic value, build standard model library about parameter waveform, and analysis overall and evaluate property of power system. To power system´ fault waveform characteristic, A new identification algorithm -fractal dimension and average value density is proposed. This algorithm can recognize all kinds of fault waveform effectively, thus analysis result can be used faulty diagnosis and status property monitor of power system.
  • Keywords
    chaos; fault diagnosis; power system faults; power system identification; waveform analysis; chaos; fault diagnosis; fractal theory; identification algorithm; power system fault waveform; status property monitor; Chaos; Circuit faults; Fault diagnosis; Fractals; Frequency; Power system analysis computing; Power system faults; Power system modeling; Power system transients; Pulse measurements; Chaos; fault diagnosis; fractal dimension; high frequency transient;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523675
  • Filename
    4523675