Environmental stress screening strategies for multi-component systems with Weibull failure-times and imperfect failure detection

E. Pohl, D. Dietrich
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引用次数: 9

Abstract

Environmental stress screening (ESS) is employed to reduce, if not eliminate, the occurrence of early field failures. In this paper, a general two-level ESS model is presented for a multi-component electronic system. Screening is performed at the component and unit level. Components and connections are assumed to come from good and substandard populations and their time-to-failure distributions are modeled with mixture distributions. ESS models currently found in the literature assume that time-to-failure distributions are mixtures of exponentials. This paper extends previous work by examining mixtures of Weibull distributions for all assembly levels. The mixed Weibull distribution is used to examine how screening strategies change when wear-out mechanisms are present, Also, this paper relaxes the assumption that all failures precipitated by the screening process are found before being used in subsequent assembly levels. Numerical examples are provided to illustrate the screening model. Significant changes in screening strategies are found when the assumptions of perfect failure detection and exponentiality are relaxed.
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具有威布尔失效时间和不完全失效检测的多部件系统环境应力筛选策略
采用环境应力筛选(ESS)来减少(如果不能消除)早期现场故障的发生。本文针对多部件电子系统,提出了一个通用的两级ESS模型。筛选在组件和单元级别执行。假设组件和连接来自良好和不合格的种群,它们的失效时间分布采用混合分布建模。目前在文献中发现的ESS模型假设失效时间分布是指数的混合物。本文通过检查所有装配级别的威布尔分布的混合来扩展以前的工作。混合威布尔分布用于检查当存在磨损机制时筛选策略如何变化,此外,本文放松了筛选过程中沉淀的所有故障在随后的装配水平中使用之前被发现的假设。数值算例说明了该筛分模型。当完全故障检测和指数假设放宽时,发现筛选策略发生了显著变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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