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Reliability assessment model considering heterogeneous population in a multiple stresses accelerated test

机译:考虑多重应力加速测试中异质性种群的可靠性评估模型

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摘要

Heterogeneous population, a mixture of weak and strong subpopulations, is inevitable in some multiple stresses accelerated tests. Modeling the reliability of heterogeneous population in an accelerated test differs dramatically from that for a homogeneous setting. In this paper, a multiple stress reliability assessment model with heterogeneous populations is proposed, which includes verifying the presence of heterogeneous population, determining the number of subpopulations and separating populations based on Bayes classifier. The acceleration model structure is then specified, and the effects of different accelerating stresses are analyzed. A practical example is used to demonstrate the accuracy and flexibility of the proposed method. It is shown that reliability assessment without considering heterogeneity is heavily biased, and the sequences of stress sensitivity to different subpopulations are different. We also explain the phenomenon that the pseudo lifetime of smart electricity meter under some milder stress is shorter than that in harsher condition due to opposite effects on degradation characteristics among different stresses, and verify the phenomenon by the enhancement test.
机译:在某些多重压力加速测试中,不可避免的是异质种群,即弱种群和强种群的混合体。在加速测试中对异类总体的可靠性进行建模与同质设置的建模存在显着差异。本文提出了一种具有异质种群的多重胁迫可靠性评估模型,该模型包括验证异质种群的存在,确定亚种群的数量以及基于贝叶斯分类器对种群进行分离。然后指定了加速度模型的结构,并分析了不同加速应力的影响。一个实际的例子用来证明所提方法的准确性和灵活性。结果表明,不考虑异质性的可靠性评估存在很大偏差,并且对不同亚群的胁迫敏感性的顺序也不同。我们还解释了由于在不同应力之间对退化特性的相反作用,智能电表在某些较轻的应力下的假寿命比在较苛刻的条件下的假寿命短的现象,并通过增强测试进行了验证。

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