Prediction of product failure rate due to event-related failure mechanisms

D. Lin, T.L. Welsher
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引用次数: 8

Abstract

Individual events in the use environment such as accidentally dropping a cellular phone or zapping it with human body ESD (electrostatic discharge) are getting more frequent as electronic products are becoming more portable. Monte Carlo simulations of the stress distribution offered by the environment and the product strength distribution are used to derive the infant mortality (early failure) curve. Fitting the slope of the infant mortality curve is an indicator of how far apart the two distributions are and the frequency of individual events. Two new metrics, SIM (severity of infant mortality) and D/sub 5%/, to track infant mortality are proposed. The process to set test-based reliability requirements for achieving a given field return goal is also illustrated.
事件相关失效机制导致的产品故障率预测
随着电子产品的便携性越来越高,在使用环境中,不小心掉下手机或被人体静电放电(ESD)击中等个人事件越来越频繁。利用蒙特卡罗模拟环境应力分布和产品强度分布,导出了婴儿死亡率(早期失效)曲线。拟合婴儿死亡率曲线的斜率是两种分布之间的距离和个别事件发生频率的指标。提出了跟踪婴儿死亡率的两个新指标SIM(婴儿死亡严重程度)和D/低于5%/。为实现给定的现场返回目标而设置基于测试的可靠性要求的过程也进行了说明。
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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