加速试验中部件失效数据的威布尔分析

Martin Shaw
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引用次数: 1

摘要

威布尔分布通常用于描述电子元件的故障率参数,其优点是提供了一个“易于理解”的元件失效模式与时间的关系图。这样就可以得出故障率是否增加、减少或保持不变的结论,这无疑是做出任何可靠性声明的关键因素。本文详细描述了如何筛选出彩色视频显示单元(VDU)上的晶体管问题,并在威布尔纸上绘制了故障时间数据,以便得出结论。对两种不同的晶体管在同一应用中进行了评估,从各自的威布尔图中确定了每种晶体管的可靠性特性。由于所讨论的产品处于早期生产阶段,因此威布尔图不是用于根据测试数据预测现场沉降,而是用于了解失效机制。本文还描述了利用贝叶斯统计方法的一种形式在威布尔图中分离弱部件失效分布的方法。以这种方式隔离弱分布,可以更精确地计算所需的老化时间,这通常对提高产品可靠性有显著影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weibull analysis of component failure data from accelerated testing

The Weibull distribution is commonly used to describe the failure rate parameters of electronic components and has the advantage of presenting an ‘easy-to-understand’ picture of component failure modes with respect to time. This allows conclusions to be drawn on whether an increasing, decreasing or constant failure rate is present which is undoubtedly a key factor in making any reliability statements.

This paper describes in detail how a transistor problem on a colour video display unit (VDU) was screened out and the time-to-fail data plotted on Weibull paper to allow conclusions to be drawn. Two different transistors were evaluated in the same application to determine from their respective Weibull plots, the reliability characteristics of each type. As the product under discussion was in its early production stage, the Weibull plots were not used to predict field fallout from the test data, but to understand the failure mechanism.

The paper also describes the way in which weak component failure distributions can be isolated in Weibull plots by using a form of the Bayesian statistical approach. Isolating the weak distribution in this manner allows a more exact calculation of the required burn-in duration which may often have a marked effect on improving product reliability.

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