Use of heritage data and other partially applicable information in reliability prediction of systems under development

E. Droguett, A. Mosleh
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引用次数: 2

Abstract

This paper presents a methodology for the reliability assessment of systems under development. The methodology employs Bayesian data analysis techniques to estimate reliability measures based on various types of data such as warranty data, test data, and engineering judgments regarding the impact of design changes on the system reliability. It also provides the possibility of incorporating evidence concerning previous revisions of the same system or even information on systems that are only similar to the one under development. The methodology is validated against observed failure data from a diagnostic medical system. An example of application in the context of the automotive industry is presented as well.
在开发中的系统可靠性预测中使用传统数据和其他部分适用的信息
本文提出了一种对正在开发的系统进行可靠性评估的方法。该方法采用贝叶斯数据分析技术,根据各种类型的数据(如保修数据、测试数据和有关设计更改对系统可靠性影响的工程判断)来估计可靠性度量。它还提供了一种可能性,即纳入关于同一系统以前修订的证据,甚至是关于与正在开发的系统相似的系统的资料。该方法通过对诊断性医疗系统观察到的故障数据进行验证。并给出了在汽车工业中的应用实例。
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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