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Optimal Design for Step-Stress Accelerated Degradation Test with Multiple Performance Characteristics Based on Gamma Processes

机译:基于伽玛过程的具有多种性能特征的阶梯应力加速降解试验的优化设计

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Step-stress accelerated degradation test (SSADT) plays an important role in assessing the lifetime distribution of highly reliable products under normal operating conditions when there are not enough test units available for testing purposes. Recently, the optimal SSADT plans are presented based on an underlying assumption that there is only one performance characteristic. However, many highly reliable products usually have complex structure, with their reliability being evaluated by two or more performance characteristics. At the same time, the degradation of these performance characteristics would be always positive and strictly increasing. In such a case, the gamma process is usually considered as a degradation process due to its independent and nonnegative increments properties. Therefore, it is of great interest to design an efficient SSADT plan for the products with multiple performance characteristics based on gamma processes. In this work, we first introduce reliability model of the degradation products with two performance characteristics based on gamma processes, and then present the corresponding SSADT model. Next, under the constraint of total experimental cost, the optimal settings such as sample size, measurement times, and measurement frequency are obtained by minimizing the asymptotic variance of the estimated 100 qth percentile of the product's lifetime distribution. Finally, a numerical example is given to illustrate the proposed procedure.
机译:当没有足够的测试单元可用于测试时,步进应力加速降解测试(SSADT)在评估高可靠性产品在正常操作条件下的寿命分布中起着重要作用。最近,基于仅存在一个性能特征的基本假设,提出了最佳SSADT计划。但是,许多高度可靠的产品通常具有复杂的结构,其可靠性由两个或多个性能特征来评估。同时,这些性能特征的下降将始终是积极的,并且会严格增加。在这种情况下,由于伽玛过程的独立和非负增量属性,通常将其视为降级过程。因此,为基于伽马工艺具有多种性能特征的产品设计有效的SSADT计划非常重要。在这项工作中,我们首先介绍了基于伽玛过程具有两个性能特征的降解产物的可靠性模型,然后提出了相应的SSADT模型。接下来,在总实验成本的约束下,通过最小化产品寿命分布的估计第100个百分位数的渐近方差,可以获得最佳设置,例如样本大小,测量时间和测量频率。最后,给出一个数值例子来说明所提出的程序。

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