• DocumentCode
    3514034
  • Title

    Complex systems reliability estimation considering uncertain component lifetime distributions

  • Author

    Wang, Peng ; Jin, Tongdan

  • Author_Institution
    Hamilton Sundstrand Power Syst., San Diego, CA, USA
  • fYear
    2009
  • fDate
    20-24 July 2009
  • Firstpage
    395
  • Lastpage
    398
  • Abstract
    This paper studies the uncertainties in component reliability estimation and their impact on system reliability prediction. Monte Carlo simulations (i.e. sampling-based methods) are used to investigate the correlation between system complexity and component lifetime distributions. We focus on the applications where component lifetimes can be modeled by Weibull distributions, but their parameters involve estimation uncertainties. Our research indicates, regardless of the component lifetime distributions, the system lifetime asymptotically approaches to the exponential distribution as the number of components in the system increases significantly.
  • Keywords
    Monte Carlo methods; Weibull distribution; reliability theory; Monte Carlo simulations; Weibull distributions; complex systems reliability estimation; component lifetime distributions; exponential distribution; sampling-based methods; system reliability prediction; uncertain component lifetime distributions; Exponential distribution; Life estimation; Lifetime estimation; Parameter estimation; Power system reliability; Power system simulation; Shape; System testing; Uncertainty; Weibull distribution; Monte Carlo simulation; Weibull distribution; estimation uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety, 2009. ICRMS 2009. 8th International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-4903-3
  • Electronic_ISBN
    978-1-4244-4905-7
  • Type

    conf

  • DOI
    10.1109/ICRMS.2009.5270165
  • Filename
    5270165