首页> 外文会议>Conference on Component and Systems Diagnostics, Prognostics, and Health Management Ⅱ Apr 3-4, 2002 Orlando, USA >Integration Of Health Management And Support Systems Is Key To Achieving Cost Reduction And Operational Concept Goals Of The 2nd Generation Reusable Launch Vehicle
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Integration Of Health Management And Support Systems Is Key To Achieving Cost Reduction And Operational Concept Goals Of The 2nd Generation Reusable Launch Vehicle

机译:健康管理和支持系统的集成对于实现降低成本和第二代可重复使用运载火箭的作战概念目标至关重要

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Our aerospace customers are demanding that we drastically reduce the cost of operating and supporting our products. Our space customer in particular is looking for the next generation of reusable launch vehicle systems to support more aircraft like operation. To achieve this goal requires more than an evolution in materials, processes and systems, what is required is a paradigm shift in the design of the launch vehicles and the processing systems that support the launch vehicles. This paper describes the Automated Informed Maintenance System (AIM) we are developing for NASA's Space Launch Initiative (SLI) Second Generation Reusable Launch Vehicle (RLV). Our system includes an Integrated Health Management (IHM) system for the launch vehicles and ground support systems, which features model based diagnostics and prognostics. Health Management data is used by our AIM decision support and process aids to automatically plan maintenance, generate work orders and schedule maintenance activities along with the resources required to execute these processes. Our system will automate the ground processing for a spaceport handling multiple RLVs executing multiple missions. To accomplish this task we are applying the latest web based distributed computing technologies and application development techniques.
机译:我们的航空航天客户要求我们大幅降低运营和支持我们产品的成本。特别是我们的太空客户正在寻找下一代可重复使用的运载火箭系统,以支持更多类似飞机的操作。为了实现这一目标,不仅需要材料,工艺和系统的发展,还需要对运载火箭和支持运载火箭的处理系统进行设计上的范式转变。本文介绍了我们为NASA的太空发射计划(SLI)第二代可重复使用运载火箭(RLV)开发的自动信息维护系统(AIM)。我们的系统包括用于运载火箭和地面支持系统的集成健康管理(IHM)系统,该系统具有基于模型的诊断和预测功能。我们的AIM决策支持和流程帮助人员使用Health Management数据来自动计划维护,生成工作订单和安排维护活动以及执行这些过程所需的资源。我们的系统将为处理多个执行多个任务的RLV的空间端口自动进行地面处理。为了完成此任务,我们正在应用最新的基于Web的分布式计算技术和应用程序开发技术。

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