• DocumentCode
    1198445
  • Title

    Diagnostic testing of stochastic cables

  • Author

    Bertini, G.J.

  • Author_Institution
    Novinium, Inc., WA
  • Volume
    25
  • Issue
    2
  • fYear
    2009
  • Firstpage
    6
  • Lastpage
    12
  • Abstract
    A low cost method to prioritize circuit rehabilitation efforts is described and illustrated with a decade of field failure data, covering over 18,000 km of cable installed over three decades.
  • Keywords
    fault diagnosis; optimisation; power cable testing; stochastic processes; off-line diagnostic devices; optimum resource allocations; roadmap; statistics; stochastic cable diagnostic testing; strategic resource optimization; thermodynamic second law; Adders; Cables; Chemicals; Circuits; Foot; Least squares approximation; Least squares methods; Stochastic processes; Testing; Time measurement; XLPE cables, rehabilitation, diagnostic, testing, reliability, Crow-AMSAA;
  • fLanguage
    English
  • Journal_Title
    Electrical Insulation Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0883-7554
  • Type

    jour

  • DOI
    10.1109/MEI.2009.4802593
  • Filename
    4802593