Journal of Applied Reliability (한국신뢰성학회지:신뢰성응용연구)

The Korean Reliability Society (한국신뢰성학회)
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Influence Analysis of Sampling Points on Accuracy of Storage Reliability Estimation for One-shot Systems

원샷 시스템의 저장 신뢰성 추정 정확성에 대한 샘플링 시점의 영향 분석

  • Chung, Yong H. (Department of Industrial Engineering, Ajou University) ;
  • Oh, Bong S. (Human Resources Development Service of Korea) ;
  • Lee, Hong C. (Korea Institute of Civil Engineering and Building Technology) ;
  • Park, Hee N. (Department of Industrial Engineering, Ajou University) ;
  • Jang, Joong S. (Department of Industrial Engineering, Ajou University) ;
  • Park, Sang C. (Department of Industrial Engineering, Ajou University)
  • Received : 2016.02.12
  • Accepted : 2016.03.18
  • Published : 2016.03.25
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Abstract

Purpose: The purpose of this study is to analyze the effect of sampling points on accuracy of storage reliability estimation for one-shot systems by assuming a weibull distribution as a storage reliability distribution. Also propose method for determining of sampling points for increase the accuracy of reliability estimation. Methods: Weibull distribution was divided into three sections for confirming the possible to estimate the parameters of the weibull distribution only some section's sample. Generate quantal response data for failure data. And performed parameter estimation with quantal response data. Results: If reduce sample point interval of 1 section, increase the accuracy of reliability estimation although sampling only section 1. Even reduce total number of sampling point, reducing sampling time interval of the 1 zone improve the accuracy of reliability estimation. Conclusion: Method to increase the accuracy of reliability estimation is increasing number of sampling and the sampling points. But apply this method to One-shot system is difficult because test cost of one-shot system is expensive. So propose method of accuracy of storage reliability estimation of one-shot system by adjustment of the sampling point. And by dividing the section it could reduce the total sampling point.

Keywords

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