• DocumentCode
    1440363
  • Title

    Effects of Uncertainty in Both Component Reliability and Load Demand on Multistate System Reliability

  • Author

    Wang, Yong ; Li, Lin

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Univ. of Illinois at Chicago, Chicago, IL, USA
  • Volume
    42
  • Issue
    4
  • fYear
    2012
  • fDate
    7/1/2012 12:00:00 AM
  • Firstpage
    958
  • Lastpage
    969
  • Abstract
    Considerable studies have been done on system reliability estimation under uncertainty. Most of these studies focus on binary-state systems, and the uncertainty source is only admitted in the component reliability estimation. The studies on multistate systems (MSSs) do exist, but these studies either completely ignore the uncertainty in load demand during the system operation period or are restricted to parallel system structures. This paper attempts to extend these previous studies and investigate the effects of uncertainty in both component reliability and load demand on system reliability for general MSSs with any series-parallel structures. Analytical expressions for calculating the expected value and the variance of system reliability considering these two sets of uncertainty factors are derived based on the universal generating function method in an iterative form. The accuracy of the proposed analytical approach is validated through Monte Carlo simulations. Various examples on a complex series-parallel MSS are used to investigate the effects of the two sets of uncertainty factors. The results indicate that these two sets of uncertainty factors affect the expected value and the variance of system reliability for MSSs in different ways.
  • Keywords
    Monte Carlo methods; iterative methods; large-scale systems; reliability; uncertain systems; Monte Carlo simulations; binary-state systems; complex series-parallel MSS; component reliability estimation; component reliability uncertainty; iterative form; load demand uncertainty; multistate system reliability; series-parallel structures; system reliability estimation; uncertainty factors; universal generating function method; Estimation; Matrices; Monte Carlo methods; Random variables; Reliability; Symmetric matrices; Uncertainty; Multistate system (MSS); reliability estimation; series–parallel system; uncertainty; universal generating function (UGF);
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/TSMCA.2011.2181163
  • Filename
    6145711