• DocumentCode
    2007060
  • Title

    Automated analysis of voltage and current waveforms during faults

  • Author

    Fan, Wen ; Liao, Yuan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Kentucky, Lexington, KY, USA
  • fYear
    2012
  • fDate
    11-13 March 2012
  • Firstpage
    214
  • Lastpage
    219
  • Abstract
    Automated fault analysis becomes increasingly desirable because an increasing volume of fault data have been captured by various types of recording devices in power systems. This paper presents developments on algorithms and software related to automated fault analysis. Our analysis is based on voltage and current waveforms. We have developed algorithms to effectively identify the fault types, fault starting time, and fault duration, which are capable of handling faults with evolving fault types. The software module that implements the algorithms is delineated. Sample analysis results based on field data are reported.
  • Keywords
    fault currents; fault diagnosis; feature extraction; power engineering computing; power system faults; waveform analysis; aample analysis; automated current waveform analysis; automated fault analysis; automated voltage waveform analysis; automatic distinctive feature extraction; fault data; fault duration; fault handling; fault starting time; fault type evolution; fault type identification; power system; recording devices; software module; Algorithm design and analysis; Application software; Circuit faults; Classification algorithms; Integrated circuits; Software algorithms; Threshold voltage; Fault analysis; Fault type classification; superimposed component; voltage and current waveform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory (SSST), 2012 44th Southeastern Symposium on
  • Conference_Location
    Jacksonville, FL
  • ISSN
    0094-2898
  • Print_ISBN
    978-1-4577-1492-4
  • Type

    conf

  • DOI
    10.1109/SSST.2012.6195144
  • Filename
    6195144