Temperature acceleration models in reliability predictions: Justification & improvements

F. Bayle, A. Mettas
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引用次数: 52

Abstract

Reliability predictions have been for a long time a difficult task, due to the conflict between high reliability requirements and the lack of component manufacturer data. As the data available during the development phase is the product bill of materials, reliability prediction methods have developed component reliability models based on in-service field return data and/or physics of failure. The repartition of these two approaches has changed over time, where predictions were mainly based on empirical data at the beginning (MIL-HDBK-217), but more recently attempts have been made to incorporate some form of physics of failure (MIL217+, FIDES). Note, that even in these attempts the acceleration factor coefficients are still based on empirical data.
可靠性预测中的温度加速模型:论证与改进
长期以来,可靠性预测一直是一项艰巨的任务,因为高可靠性要求与缺乏部件制造商数据之间存在冲突。由于在开发阶段可用的数据是产品材料清单,可靠性预测方法基于在用现场返回数据和/或失效物理建立了部件可靠性模型。随着时间的推移,这两种方法的重新划分发生了变化,其中预测主要基于开始时的经验数据(MIL-HDBK-217),但最近已经尝试将某种形式的物理失败(MIL217+, FIDES)纳入其中。请注意,即使在这些尝试中,加速因子系数仍然基于经验数据。
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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