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Bayesian reliability evaluation for customized products with zero-failure data under small sample size

机译:贝叶斯的可靠性评估,定制产品具有零故障数据的小样本大小

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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 Traditional life time based methods and current zero-failure data based methods which require large sample size are no longer valid.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.
机译:一些定制产品的可靠性信息的特点是样品和零故障。 传统的基于寿命的方法和当前需要大样本大小的基于零故障数据的方法不再有效。 由于Weibull分布在描述各种产品的失效时具有广泛的应用,本文旨在解决Weibull产品的问题。 提出了一种新的方法,以评估Weibull分布在小样本大小和零故障数据的情况下产品的可靠性。 为了应对小样本大小的困难,所提出的方法试图融合目标产品和类似的可靠性数据,以提高评估结果的准确性。 一个例子用于展示所提出的方法的有效性和有效性。

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