• DocumentCode
    1738013
  • Title

    Application of digital signal processing techniques to analyze partial discharge data

  • Author

    Basappa, Prathap ; Lakdawala, Vishnu

  • Author_Institution
    Dept. of Comput. Sci., Norfolk State Univ., VA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    341
  • Abstract
    Experiments were conducted to investigate whether the electrical tree growth in PMMA (polymethylmethacrylate) could be characterized by the partial discharges (PD) that evolved during its progress. PMMA samples with a needle-plane gap were aged under 50 Hz AC voltage, which gave rise to branch and bush type trees. The PDs were collected for a constant duration at regular intervals of times continuously all through the aging sequence. The tree growth was monitored by taking the microphotographs periodically, without interrupting the aging voltage. The parameters of the PD amplitude distributions obtained during the growth were analyzed later by correlation and spectral analysis methods
  • Keywords
    ageing; insulation testing; organic insulating materials; partial discharge measurement; spectral analysis; trees (electrical); 50 Hz; PD amplitude distributions; PMMA; aging sequence; aging voltage; branch type trees; bush type trees; digital signal processing techniques; electrical tree growth; needle-plane gap; partial discharge data; partial discharges; polymethylmethacrylate; spectral analysis methods; Aging; Data analysis; Digital signal processing; Microscopy; Needles; Partial discharges; Pulse measurements; Signal analysis; Trees - insulation; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation and Dielectric Phenomena, 2000 Annual Report Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-6413-9
  • Type

    conf

  • DOI
    10.1109/CEIDP.2000.885296
  • Filename
    885296