Statistical Analysis of Degradation Data under a Random Coefficient Rate Model

확률계수 열화율 모형하에서 열화자료의 통계적 분석

  • Seo, Sun-Keun (Dept. of Industrial & Management Systems Engineering, Dong-A University) ;
  • Lee, Su-Jin (Dept. of Industrial & Management Systems Engineering, Dong-A University) ;
  • Cho, You-Hee (Dept. of Industrial & Management Systems Engineering, Dong-A University)
  • 서순근 (동아대학교 산업경영공학과) ;
  • 이수진 (동아대학교 산업경영공학과) ;
  • 조유희 (동아대학교 산업경영공학과)
  • Published : 2006.09.30

Abstract

For highly reliable products, it is difficult to assess the lifetime of the products with traditional life tests. Accordingly, a recent approach is to observe the performance degradation of product during the test rather than regular failure time. This study compares performances of three methods(i.e. the approximation, analytical and numerical methods) to estimate the parameters and quantiles of the lifetime when the time-to-failure distribution follows Weibull and lognormal distributions under a random coefficient degradation rate model. Numerical experiments are also conducted to investigate the effects of model error such as measurements in a random coefficient model.

Keywords

References

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