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Estimation of repairable system availability within fixed time horizon

Author

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  • Maciejewski, Henryk
  • Caban, Dariusz

Abstract

The paper presents an efficient approach to estimating the availability of a repairable system observed within a fixed time horizon, which is regarded as a random variable over range [0,1]. A Beta distribution based approximation of this characteristic is proposed. The presented results are derived from Monte Carlo simulation and statistical analysis of the simulation results. Numerical examples are also provided to illustrate the practical impact of this approach.

Suggested Citation

  • Maciejewski, Henryk & Caban, Dariusz, 2008. "Estimation of repairable system availability within fixed time horizon," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 100-106.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:1:p:100-106
    DOI: 10.1016/j.ress.2006.10.016
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    Cited by:

    1. Min Xie & Chengjie Xiong & Szu-Hui Ng, 2014. "A study of N-version programming and its impact on software availability," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(10), pages 2145-2157, October.
    2. Følstad, Eirik L. & Helvik, Bjarne E., 2016. "The cost for meeting SLA dependability requirements; implications for customers and providers," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 136-146.
    3. James R. Enos, 2019. "Achieving resiliency in major defense programs through nonfunctional attributes," Systems Engineering, John Wiley & Sons, vol. 22(5), pages 389-400, September.

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