• DocumentCode
    3049853
  • Title

    Statistical modeling for predicting degradation of medium voltage outdoor equipment

  • Author

    Iyer, G. ; Gorur, R.S. ; Krivda, A. ; Mahonen, P.

  • Author_Institution
    Dept. of Electr. Eng., Arizona State Univ., Tempe, AZ, USA
  • fYear
    2009
  • fDate
    18-21 Oct. 2009
  • Firstpage
    274
  • Lastpage
    277
  • Abstract
    The paper introduces a Weibull probabilistic model for predicting the performance of outdoor medium voltage apparatus using cycloaliphatic epoxies. Rectangular slabs of the material were tested on the inclined plane test (ASTM D2303)for determining the tracking and erosion resistance. Some slabs were sand-blasted to duplicate the degradation observed on field-aged samples that were located in various test sites for up to 20 years. Leakage current data was recorded for new and sandblasted samples during the test. The model is a product of leakage current and arc time at a particular spot as a parameter for the Weibull distribution. The model predictions are in good agreement with the experimental results.
  • Keywords
    Weibull distribution; ageing; equipment evaluation; leakage currents; power apparatus; power system management; power system planning; wear; ASTM D2303; Weibull distribution; Weibull probabilistic model; cycloaliphatic epoxy; erosion resistance; inclined plane test; leakage current; medium voltage outdoor equipment degradation; outdoor medium voltage apparatus; statistical modeling; tracking resistance; Degradation; Insulation life; Insulator testing; Leakage current; Materials testing; Medium voltage; Predictive models; Rough surfaces; Slabs; Surface roughness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation and Dielectric Phenomena, 2009. CEIDP '09. IEEE Conference on
  • Conference_Location
    Virginia Beach, VA
  • ISSN
    0084-9162
  • Print_ISBN
    978-1-4244-4557-8
  • Electronic_ISBN
    0084-9162
  • Type

    conf

  • DOI
    10.1109/CEIDP.2009.5377705
  • Filename
    5377705