• DocumentCode
    2192863
  • Title

    Indirect reliability estimation for electric devices via a dynamic "stress-strength" model

  • Author

    Chiodo, Elio ; Mazzanti, Giovanni

  • Author_Institution
    Dept. of Electr. Eng., Naples Univ.
  • fYear
    2006
  • fDate
    23-26 May 2006
  • Firstpage
    903
  • Lastpage
    908
  • Abstract
    In the paper, the problem of an efficient assessment or estimation of the reliability function of power system devices subjected to repeated "shocks" (e.g. overvoltages) is dealt with. The adopted model is a dynamic "stress-strength" model, leading to an exponential reliability model, whose parameters are functions of electric system parameters or characteristics (e.g., frequency of overvoltages occurrence, their amplitude distribution, the degradation law of component insulation, etc). By adequately using the engineer\´s knowledge about such parameters, a so called "indirect estimation" of reliability function or related parameters (lifetime quantiles, MTTF, etc.) can be developed with no particular difficulty, as illustrated in the paper by means of some numerical applications, performed via the classical estimation theory. The indirect estimation may be often more efficient than the "direct one", which must be often based upon too few lifetime data
  • Keywords
    estimation theory; power apparatus; reliability; dynamic "stress-strength" model; electric devices; exponential reliability model; indirect reliability estimation; power system devices; reliability function assessment; Degradation; Electric shock; Estimation theory; Frequency; Life estimation; Lifetime estimation; Power system dynamics; Power system modeling; Power system reliability; Surges;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006. International Symposium on
  • Conference_Location
    Taormina
  • Print_ISBN
    1-4244-0193-3
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2006.1649896
  • Filename
    1649896