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首页> 外文会议>Society for Machinery Failure Prevention Technology Meeting; 20050418-21; Virginia Beach,VA(US) >UTILIZING PROGNOSTICS INFORMATION IN A DECISION SUPPORT SYSTEM
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UTILIZING PROGNOSTICS INFORMATION IN A DECISION SUPPORT SYSTEM

机译：在决策支持系统中使用预测信息

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摘要

Prognostics provides the information that can realize increased uptime, reduced maintenance costs, and improve the system lifetime. The prognostics information data set is one of the necessary contributors to optimize and achieve a fully robust decision support system. The goal is to integrate an information architecture that supplies data into a life cycle management system that supports program management, parts and services supply chain, an adaptive and responsive maintenance and repair organization, and the objective system platform. The Marine Corps' Expeditionary Fighting Vehicle (EFV) accounts for these requirements in the overall organizational framework for the planning, implementation, and execution of this integrated design approach. The information that feeds the decision support system originates from a number of sources. The resultant data from these sources are captured, stored, calculated, aggregated, and reported to the various organizational levels on a timely basis. This paper will describe the overall EFV decision support system, and how prognostics plays an integral part in contributing to reducing system downtime, assist in planning for periodic maintenance scheduling, and promoting system availability and readiness.
机译：Prognostics提供的信息可实现增加的正常运行时间，降低的维护成本并延长系统寿命。预后信息数据集是优化和实现完全健壮的决策支持系统的必要因素之一。目标是将提供数据的信息体系结构集成到生命周期管理系统中，该系统支持程序管理，零件和服务供应链，自适应和响应性的维护与维修组织以及目标系统平台。海军陆战队的远征战车（EFV）在总体组织框架中为这些集成设计方法的规划，实施和执行提供了这些要求。提供给决策支持系统的信息来自许多来源。这些来源的结果数据将被捕获，存储，计算，汇总并及时报告给各个组织级别。本文将介绍整个EFV决策支持系统，以及预测如何在减少系统停机时间，协助计划定期维护计划以及促进系统可用性和就绪性方面发挥不可或缺的作用。

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