• DocumentCode
    3037951
  • Title

    Reliability evaluation for m-consecutive-k-out-of-n: F system with Burr XII components

  • Author

    Shi, Yi-min ; Gu, Xin ; Sun, Yu-dong

  • Author_Institution
    Dept. of Appl. Math., Northwestern Polytech. Univ., Xi´´an, China
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    2314
  • Lastpage
    2317
  • Abstract
    Based on Type-II doubly censored samples, we study the reliability evaluation of m-consecutive -k-out-of-n: F system with Burr XII components. Classical statistical method and Bayes approach have been used to derive the MLE, Bayesian estimator and E-Bayesian estimator for unknown parameter and system reliability. The statistical performances are compared through the accuracy of MSE based on Monte-Carlo simulation. According to these comparisons, it is concluded that the E- Bayesian estimations are preferable.
  • Keywords
    Bayes methods; Monte Carlo methods; reliability theory; Bayes approach; Burr XII components; E- Bayesian estimation; E-Bayesian estimator; Monte Carlo simulation; reliability evaluation; statistical method; system reliability; type-II doubly censored samples; Bayesian methods; Data models; Maximum likelihood estimation; Numerical simulation; Power system reliability; Reliability; Bayesian method; Type-II doubly censored samples; m-consecutive-k-out-of-n: F system; reliability evaluation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Technology (ICMT), 2011 International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-61284-771-9
  • Type

    conf

  • DOI
    10.1109/ICMT.2011.6002465
  • Filename
    6002465