• DocumentCode
    3576609
  • Title

    Weibull component reliability evaluation with masked data

  • Author

    Jieqiong Miao ; Xiaogang Li ; Renxi Luo

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • Firstpage
    551
  • Lastpage
    554
  • Abstract
    Under the condition that the exact component causing system failure is masked in life testing, a new method is proposed to evaluate the reliability of Weibull component in a series system. Considering relaxing the symmetry assumption of masking probability, we obtained the likelihood function of the Weibull components on the basis of the masking probability does not depend on the distribution parameters. A latent variable is introduced to rewrite the form of the likelihood function, and we obtain the estimators of the unknown parameters. The confidence intervals of Weibull component life-distribution parameter are also inferred with likelihood ratio method. The approach is illustrated with a simple numerical example.
  • Keywords
    Weibull distribution; failure analysis; life testing; maximum likelihood estimation; numerical analysis; reliability theory; Weibull component life-distribution parameter; Weibull component reliability evaluation; confidence intervals; latent variable; life testing; likelihood function; likelihood ratio method; masked data; masking probability; numerical analysis; series system; symmetry assumption; system failure; unknown parameter estimation; Bayes methods; Maximum likelihood estimation; Parameter estimation; Reliability; Silicon; Weibull distribution; Weibull distribution; auxiliary variable; masked data; maximum likelihood estimation; reliability estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/IEEM.2014.7058698
  • Filename
    7058698