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Vehicle health management research for legacy and futureoperational environments

机译:针对旧版和未来运营环境的车辆健康管理研究

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The Air Force will require the ability to diagnose and predict component failures in order to more effectively meet the requirements of the fast and agile Aerospace Expeditionary Force (AEF) and future space vehicles. This paper will cover topics relevant to vehicle health management for current and anticipated support environments. It reflects current projects underway at the Air Force Research Laboratory in the air vehicles and human effectiveness directorates. Specifically, the predictive failures and advanced diagnostics (PFAD) for legacy aircraft, passive aircraft status system (PASS), and the space operations vehicle integrated system (SOVIS) projects will be discussed
机译:空军将需要具有诊断和预测部件故障的能力,以便更有效地满足快速,敏捷的航空航天远征军(AEF)和未来航天器的需求。本文将涵盖与当前和预期支持环境中的车辆健康管理相关的主题。它反映了空军研究实验室正在进行的有关飞行器和人类有效性理事会的项目。具体来说,将讨论传统飞机,被动飞机状态系统(PASS)和太空飞行器集成系统(SOVIS)项目的预测性故障和高级诊断(PFAD)。

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