• Title/Summary/Keyword: information reliability

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Reliability Prediction of High Performance Mooring Platform in Development Stage Using Safety Integrity Level and MTTFd (안전무결성 수준 및 MTTFd를 활용한 개발단계의 고성능 지상체 신뢰도 예측 방안)

  • Min-Young Lee;Sang-Boo Kim;In-Hwa Bae;So-Yeon Kang;Woo-Yeong Kwak;Sung-Gun Lee;Keuk-Ki Oh;Dae-Rim Choi
    • Journal of the Korean Society of Industry Convergence
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    • v.27 no.3
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    • pp.609-618
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    • 2024
  • System reliability prediction in the development stage is increasingly crucial to reliability growth management to satisfy its target reliability, since modern system usually takes a form of complex composition and various complicated functions. In most cases of development stage, however, the information available for system reliability prediction is very limited, making it difficult to predict system reliability more precisely as in the production and operating stages. In this study, a system reliability prediction process is considered when the reliability-related information such as SIL (Safety Integrity Level) and MTTFd (Mean Time to Dangerous Failure) is available in the development stage. It is suggested that when the SIL or MTTFd of a system component is known and the field operational data of similar system is given, the reliability prediction could be performed using the scaling factor for the SIL or MTTFd value of the component based on the similar system's field operational data analysis. Predicting a system reliability is then adjusted with the conversion factor reflecting the temperature condition of the environment in which the system actually operates. Finally, the case of applying the proposed system reliability prediction process to a high performance mooring platform is dealt with.

System Reliability From Stress-Strength Relationship in Bivariate Pareto Distribution

  • Cho, Jang-Sik;Cho, Kil-Ho;Cha, Young-Joon
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.1
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    • pp.113-118
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    • 2003
  • In this paper, We assume that strengths of two components system follow a bivariate pareto distribution. And these two components are subjected to a common stress which is independent of the strength of the components. We obtain maximum likelihood estimator(MLE) for the system reliability from stress-strength relationship. Also we derive asymptotic properties of the MLE and present a numerical study.

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On Jacknife Reliability Estimation in the Weibull Case

  • Lee, In-Suk;Keum, Yoon-Hee
    • Journal of the Korean Data and Information Science Society
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    • v.13 no.2
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    • pp.39-44
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    • 2002
  • We compare MISE of the MLE, UMVUE, invariantly optimal estimator and Jacknife estimator for the reliability function of the Weibull distribution when the sample size is small.

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On Reliability and UMVUE of Right-Tail Probability in a Half-Normal Variable

  • Woo, Jung-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.1
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    • pp.259-267
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    • 2007
  • We consider parametric estimation in a half-normal variable and a UMVUE of its right-tail probability. Also we consider estimation of reliability in two independent half-normal variables, and derive k-th moment of ratio of two same variables.

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Reliability P(Y

  • Woo, Jung-Soo
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.3
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    • pp.783-792
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    • 2007
  • We consider estimation of reliability P(Y

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A Heuristic Algorithm for the Reliability Optimization of a Distributed Communication Network

  • Hung, Chih-Young;Yang, Jia-Ren;Park, Dong-Ho;Liu, Yi-Hsin
    • International Journal of Reliability and Applications
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    • v.9 no.1
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    • pp.1-5
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    • 2008
  • A heuristic algorithm for reliability optimization of a distributed network system is developed so that the reliability of a large system can be determined efficiently. This heuristic bases on the determination of maximal reliability set of maximum node capacity, maximal link reliability and maximal node degree.

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