Proceedings Article10.1109/ICRMS.2014.7107334
Bayesian reliability evaluation for customized products with zero-failure data under small sample size
Han Lei,Ping Jiang,Yu Yuanliang,Bo Guo +3 more
- 01 Aug 2014
- pp 904-907
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TL;DR: A new method is proposed to evaluate the reliability of products following Weibull distribution under the situation of small sample size and zero-failure data and tries to fuse the reliability data of both the target products and similar ones to enhance the accuracy of evaluation results.
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Abstract: Reliability information of some customized products is characterized as small sample and zero-failure. Traditional life time based methods and current zero-failure data based methods which require large sample size are no longer valid. As Weibull distribution has a wide application in describing failure times of various products, this paper aims to solve the problem for Weibull products. A new method is proposed to evaluate the reliability of products following Weibull distribution under the situation of small sample size and zero-failure data. To cope with the difficulties of small sample size, the proposed method tries to fuse the reliability data of both the target products and similar ones to enhance the accuracy of evaluation results. An example is used to demonstrate the validity and the effectiveness of the proposed method.
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References
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TL;DR: A Bayesian Zero-Failure (BAZE) reliability demonstration testing procedure is presented and the method provides the required total fixed test results.
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Bayesian techniques to reduce the sample size in automotive electronics attribute testing
TL;DR: In this paper, the authors discussed the application of Bayesian techniques to the determination of sample sizes required for an attribute test of a product in order to demonstrate a target reliability with a specified confidence.
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Reliability Analysis of Zero-failure Data of Products
TL;DR: For zero failure data of a certain model engine, the author gives the hierarchical Bayesian estimation of failure probability, then the reliability estimation of this model engine can be obtained.
10
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Bayes Method with Mixed Beta Distribution
TL;DR: In this article, the influence of the inheritance factor in the mixed priori distribution on reliability evaluation of a pass-fail case is investigated, where the history sample and the sample are from multivariate population.
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Reliability assessment and life prediction for zero-failure data
TL;DR: In this article, the reliability assessment and life prediction of two-parameter Weibull and lognormal distributions are discussed at some length, and a relational expression between the standard deviation of logarithmic life and the shape parameter of WeibULL distribution is also established.
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