电子预测参考架构

N. Almonte, D. Cook, J. Devereaux, M. Henry, T. Higgins, G. Roth
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引用次数: 3

摘要

电子预测可以定义为在发生故障之前对电子元件的剩余使用寿命(RUL)的预测。这个领域虽然不成熟,但对Raytheonpsilas的客户来说越来越重要。雷神公司必须开发一种共同的协同战略来满足新的预测需求。出于这个原因,雷神公司建立了一个预测和健康管理(PHM)(以前称为健康管理系统)技术信息组(TIG)来协调这些工作。PHM TIG确定了电子预测参考体系结构(ePRA)的需求,以用于具有预测要求的新系统的提案和评估。考虑到这一需求,本文的作者使用了雷神企业架构流程1 (REAP)来创建ePRA。得到了一份ePRA必须具备的需求清单,使其能够在许多雷神项目中使用。另外,为ePRA创建了一个质量属性列表。这些需求和属性一起导致了支持国防部架构框架2 (DoDAF)视图的创建。虽然在电子预测领域存在许多发展方面的问题,但该ePRA的遵守和发展将使雷神公司能够很好地快速响应其客户不断增长的预测需求。预测系统的发展将通过补充具有RUL预测的高度可靠的产品来加强Raytheonpsilas对客户的关注。这将允许及时更换部件,改进物流链,并减少用户在日益移动的战场空间中的停机时间。本文中开发的ePRA将指导在Raytheonpsilas产品中实施和整合电子预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electronics Prognostics Reference Architecture
Electronics prognostics can be defined as the prediction of the Remaining Useful Life (RUL) of electronic components before a failure occurs. This field, while immature, is increasingly important to Raytheonpsilas customers. Raytheon must develop a common and synergistic strategy to address new prognostic requirements. For this reason, Raytheon established a Prognostics and Health Management (PHM) (formerly known as Health Management System) Technology Information Group (TIG) to coordinate these efforts. The PHM TIG identified the need for an Electronics Prognostics Reference Architecture (ePRA) to use in proposals and during the evaluation of new systems with prognostics requirements. With that need in mind the authors of this paper employed the Raytheon Enterprise Architecture Process1 (REAP) to create an ePRA. A list of ldquomust haverdquo requirements for the ePRA were derived that enable its use across many Raytheon projects. Additionally, a list of quality attributes was created for the ePRA. Together these requirements and attributes led to the creation of supporting Department of Defense Architecture Framework2 (DoDAF) views. While there are numerous evolutionary concerns in the area of electronics prognostics, compliance with and the evolution of this ePRA will position Raytheon well to rapidly respond to its customerspsila growing prognostics requirements. The evolution of prognostic systems will fortify Raytheonpsilas customer focus by supplementing highly reliable products with RUL predictions. This will allow for ldquojust in timerdquo replacement of components, improvement within the logistics chain, and a reduction of down-time for the user in an increasingly mobile battlespace. The ePRA developed in this paper will guide the implementation and incorporation of electronics prognostics into Raytheonpsilas products.
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