统计可靠性预测

D. Gibson
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引用次数: 3

摘要

提出了一种基于传统可靠性寿命试验数据的设备寿命统计模型分析方法。与目前使用的技术不同,该方法不要求每次寿命测试都达到高失败率,产生的模型精度可量化,并且可以以50%以外的百分比预测预期的失效时间。可以围绕所有模型参数(如活化能)、所有性能参数(如估计的中位故障时间,MTF)和单个性能预测(估计的故障时间,TTF)计算置信度和预测区间。这一过程是证明使用电迁移失效机制,但可以适用于任何失效模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical reliability prediction
An analysis technique is presented which allows the construction of a statistical model of device lifetime given data obtained from traditional reliability life testing. Unlike techniques presently used, this method does not require that each life test be completed to a high percentage failure, produces a model whose accuracy is quantifiable, and can predict expected times to failure at percentages other than 50%. Confidence and prediction intervals can be calculated around all model parameters (such as activation energy), all performance parameters (such as estimated median time to failure, MTF), and individual performance predictions (estimated times-to-failure, TTF). This procedure is demonstrated using the electromigration failure mechanism, but can be applied to any failure model.
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