• DocumentCode
    1361004
  • Title

    Detection of wide-band E-M signals emitted from partial discharge occurring in GIS using wavelet transform

  • Author

    Kawada, Masatake ; Tungkanawanich, Ampol ; Kawasaki, Zen-Ichiro ; Matsu-ura, Kenji

  • Author_Institution
    Dept. of Electr. Eng., Osaka Univ., Japan
  • Volume
    15
  • Issue
    2
  • fYear
    2000
  • fDate
    4/1/2000 12:00:00 AM
  • Firstpage
    467
  • Lastpage
    471
  • Abstract
    Recently, diagnostic techniques have been investigated to detect a partial discharge (PD) associated with a dielectric material defect in a high-voltage electrical apparatus. Gas insulated switchgear (GIS) is an important equipment in a substation, it is highly desirable to measure a partial discharge (PD) occurring in GIS which is a symptom of an insulation breakdown. As it is important to develop a noncontact method for detecting the insulation fault, this paper proposes a new method to detect the wide-band electromagnetic (E-M) wave emitted from PD using the Wavelet transform. The Wavelet transform provides a direct quantitative measure of spectral content, “dynamic spectrum”, in the time-frequency domain. This paper experimentally shows the “dynamic spectrum” of the wide-band E-M wave emitted from PD in the time-frequency domain. This method is shown to be useful for detecting the symptom of the insulation breakdown occurring in GIS
  • Keywords
    gas insulated switchgear; insulation testing; partial discharge measurement; switchgear testing; time-frequency analysis; wavelet transforms; GIS; Wavelet transform; dynamic spectrum; gas insulated switchgear; insulation breakdown testing; insulation fault detection; noncontact method; partial discharge; time-frequency domain; wideband E-M signals detection; Dielectric materials; Electric breakdown; Electromagnetic measurements; Gas insulation; Geographic Information Systems; Partial discharges; Switchgear; Time frequency analysis; Wavelet transforms; Wideband;
  • fLanguage
    English
  • Journal_Title
    Power Delivery, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8977
  • Type

    jour

  • DOI
    10.1109/61.852970
  • Filename
    852970