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无失效数据情形船舶E-Bayes可靠性分析 被引量:4

Expected-Bayesian Reliability Analysis of Ships Life Based on Zero-failure Data
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摘要 为了解决造价昂贵以及高可靠性产品的可靠性评估问题,基于船舶无失效数据情形,提出了船舶寿命的可靠性评估方法。根据E-Bayes(Expected-Bayesian)理论,设船舶寿命服从指数分布,在失效率的先验分布为Gamma分布,且两个超参数选择三种不同的先验分布情况下,给出船舶失效率和可靠度的三种E-Bayes估计模型;对比分析三种模型,给出EBayes估计的渐进性质。结合集装箱5 600船舶(标箱)寿命无失效数据进行计算,结果表明本文提出的船舶可靠性的E-Bayes估计模型可行、便于工程应用,其中第二种模型当两个超参数同时选取均匀分布时,估计结果更稳健更保守。 In order to solve the problem reliability estimation of high reliability and high cost products, a method of reliability estimation of ship life is presented with Zero-failure Data. Based on the Expected-Bayesian theory, three Expected-Bayesian models of ship relia- bility are put forward under the conditions of exponential distribution and the prior distribution being Gamma distribution, which in- cludes two hyper parameters satisfying three different prior distributions. Compared with those models, progressive nature of Expected- Bayesian models is given. Finally, based on the calculation and analysis on the Zero-failure Data of container type 5600 ship, the re- sults show that the method above is feasible and can be applied to the engineering domain. At last, the second model which two hyper parameters being uniform distribution at the same time is more robust and more conservative.
出处 《控制工程》 CSCD 北大核心 2014年第2期189-192,共4页 Control Engineering of China
基金 中央高校基本科研业务费专项基金(HEUCFL20131103)
关键词 船舶寿命 无失效数据 失效率 可靠度 E—Bayes估计 ship life zero-failure data failure rata reliability Expected-Bayesian estimation
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参考文献10

  • 1Martz H F, Waller R A. A Baycs Zero-Failure(ABZE) reliability demonstration testing procedure[J]. Journal of Quality Technolo- gy, 1979, 11(3): 128-137.
  • 2Han Ming 1,2 & Cui Yuping 3 (1. Department of Statistics, Renmin University of China, Beijing 100872, P.R. China,2. Department of Mathematics, Zhejiang Ocean University, Zhoushan 316004, P.R. China,3. Department of Machine and Electron, Dongbei Power College, Jilin 130012, P.R. China).Processing for Zero-Failure Data of the Products[J].Journal of Systems Engineering and Electronics,2002,13(3):91-97. 被引量:3
  • 3l,indley i) V, Smith A F M. Bayes cstimations for the linear model[J].Journal of the Royal Statistical,1972,34(2) : 1-41.
  • 4韩明.多层先验分布的构造及其应用[J].运筹与管理,1997,6(3):31-40. 被引量:81
  • 5韩明.Pascal分布的参数估计[J].纯粹数学与应用数学,2006,22(4):510-515. 被引量:28
  • 6Raiffa H, Schlaifer R. Applied statistical deci-sion theory[ M ]. Boston : Harvard University, 1961.
  • 7Wu X B. E-Bayes estimation of failure probability under zero-fail- ure data with double hyper parameters[ J ]. Applied Mechanics and Materials, 2012, 190( 191 ) :977-981.
  • 8Xia X T. Reliability analysis of Zero-Failure Data with poor intor- motion [ J ]. Quality and Reliability Engineering International, 2012,28(8) :981-990.
  • 9Berger J. Statistical Decision Theory and Bayesian Analysis[M]. New York: Springer-Verlag, 1985.
  • 10郭金龙,沈继红,张浩.船体可靠性评估[J].海洋科学,2009,33(12):64-67. 被引量:2

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