• DocumentCode
    3589803
  • Title

    Quantitative analysis of warm standby system with N arbitrary time-to-failure distribution components

  • Author

    Daochuan Ge ; Yanhua Yang ; Qiang Chou ; Ruoxing Zhang

  • Author_Institution
    Nucl. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2014
  • Firstpage
    384
  • Lastpage
    388
  • Abstract
    Existing analytical methods for analyzing warm standby systems are mainly Markov-based and inclusion-exclusion-based approaches. However, both approaches have their own shortcomings. As to Markov-based methods, they often confront the problem of state space explosion and require exponential components time-to-failure distributions. For the inclusion-exclusion-based approaches, the multi-integration formulas developed for quantifying minimal cut sequences generated from warm spare gate system base on exponential components time-to-failure distribution as well. In this paper, new sequential multi-integration formulas are proposed for quantifying warm spare systems, which are applicable for system having components with arbitrary time-to-failure distributions. The rigorous mathematical derivations are presented thoroughly. For a validation purpose, an illustrative example is analyzed. The results indicate that our proposed method is reasonable.
  • Keywords
    Markov processes; failure analysis; redundancy; Markov-based method; N arbitrary time-to-failure distribution components; inclusion-exclusion-based approaches; sequential multiintegration formulas; warm standby system; Discrete Fourier transforms; Exponential distribution; Fault trees; Monte Carlo methods; Probability density function; Reliability engineering; Arbitrary Failure Distribution; Multi-integration Formulas; Reliability Assessment; Warm Standby System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability, Maintainability and Safety (ICRMS), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6631-8
  • Type

    conf

  • DOI
    10.1109/ICRMS.2014.7107208
  • Filename
    7107208