• DocumentCode
    3565214
  • Title

    Experience with an improved stochastic method for diagnosing stator winding PD data

  • Author

    Contin, Alfredo ; Montanari, GianCarlo ; Stone, Greg C.

  • Author_Institution
    Dipt. di Elettrotecnica, Elettronica ed Inf., Trieste Univ., Italy
  • Volume
    1
  • fYear
    1998
  • Firstpage
    253
  • Abstract
    A pass/fail criterion developed to establish whether an insulation system is in good conditions or is affected by different types of PD phenomena, is discussed in this paper. It relies upon considerations which involve the quality of fit to the two-parameter Weibull function, the values of its parameters, as well as other average quantities. A set of rules are derived on these basis, which makes it possible to state the conditions of the insulation system. The failure of one or more of these rules provides an indication of PD phenomena, whose characteristics and harmfulness should be investigated. Results of application of the pass/fail criterion to AC rotating machine stator windings are reported and discussed
  • Keywords
    AC machines; Weibull distribution; insulation testing; machine insulation; machine testing; partial discharge measurement; stators; stochastic processes; AC rotating machine; PD measurement; Weibull function; failure; insulation diagnosis; stator winding; stochastic analysis; Insulation; Iris; Partial discharges; Pulse measurements; Rotating machines; Shape; Signal detection; Stator windings; Stochastic processes; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation, 1998. Conference Record of the 1998 IEEE International Symposium on
  • ISSN
    1089-084X
  • Print_ISBN
    0-7803-4927-X
  • Type

    conf

  • DOI
    10.1109/ELINSL.1998.704713
  • Filename
    704713