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Innovative fault detection, isolation and recovery on-board spacecraft: Study and implementation using cognitive automation

机译:创新的故障检测,隔离和恢复航天器:使用认知自动化进行研究和实施

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Fault detection and diagnosis is a crucial aspect in spacecraft operations and on-board software with respect to safety, reliability and performance. The success of a space mission depends on the adequate and timely system reaction to unexpected environmental changes and fault or failure of components or subsystems. Within this paper, case studies of current spacecraft applications are categorized with respect to the level of autonomy that is reached. The potential of further concepts that were not yet studied in the context of spacecraft fault detection, isolation and recovery (FDIR), but in industrial and aerospace applications are examined. As a result, the cognitive automation approach, developed by the Institute of Flight Systems of the Bundeswehr University München, is identified as highly promising technology for enhancing spacecraft on-board autonomy: Context sensitive reactions in case of unexpected failure are enabled by knowledge about the current system and environmental state, system operational capabilities and the impact of faults and recovery actions on the system and system performance. A study that applies the cognitive automation concept to the power subsystem of an interplanetary spacecraft is proposed.
机译:就安全性,可靠性和性能而言,故障检测和诊断是航天器操作和机载软件中至关重要的方面。太空任务的成功取决于对突发环境变化以及组件或子系统的故障或失效的适当及时的系统反应。在本文中,针对当前航天器应用的案例研究根据达到的自治程度进行了分类。研究了在航天器故障检测,隔离和恢复(FDIR)的背景下尚未研究但在工业和航空航天应用中进一步概念的潜力。结果,由德国联邦国防工业大学飞行系统研究所开发的认知自动化方法被认为是增强航天器机载自主性的极有前途的技术:对意外事件的了解可以使上下文相关的反应通过以下方面的知识得以实现:当前系统和环境状态,系统运行能力以及故障和恢复操作对系统和系统性能的影响。提出了将认知自动化概念应用于行星际航天器动力子系统的研究。

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