任务关键和安全关键航空航天应用的集成系统健康管理研究进展

IF 11.5 1区 工程技术 Q1 ENGINEERING, AEROSPACE
Kavindu Ranasinghe , Roberto Sabatini , Alessandro Gardi , Suraj Bijjahalli , Rohan Kapoor , Thomas Fahey , Kathiravan Thangavel
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引用次数: 37

摘要

集成系统健康管理(ISHM)是一种很有前途的技术,它融合了传感器数据和组件和子系统的历史健康状态信息,以提供可操作的信息,并使有关航空航天系统运行和维护的智能决策成为可能。ISHM从根本上依赖于系统健康的评估和预测,包括故障的早期检测和剩余使用寿命(RUL)的估计。基于模型、数据驱动或混合推理技术可用于最大限度地提高诊断和预后信息的及时性和可靠性。ISHM的好处包括提高系统的可维护性、可靠性、安全性和性能。ISHM概念的下一个发展,智能健康和任务管理(IHMM),深入研究了在线系统健康预测的利用,以修改任务概况,以确保安全性和可靠性,以及通过预测完整性的效率。这一概念对于可信自主系统(TAS)应用尤为重要,在TAS应用中,准确评估当前和未来的系统健康状态以做出操作决策(有或没有人为干预)对于飞行安全和任务成功都是不可或缺的。IHMM系统引入了预测子系统功能性能退化的能力,有足够的时间动态确定采取哪些适当的恢复或重新配置行动,以确保系统在故障事件发生之前能够在可接受的操作能力水平上运行。本文回顾了航空航天工业中ISHM领域的一些关键进展和知识贡献,特别关注涉及人工智能使用的各种架构和推理策略。本文还讨论了在航空航天工业中开发和部署ISHM系统所面临的关键挑战,并强调了IHMM将在未来的网络物理和自主系统应用(包括车辆和地面支持系统)中发挥的安全关键作用,例如无人机系统(UAS)交通管理(UTM),城市空中机动(UAM)和分布式卫星系统(DSS)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in Integrated System Health Management for mission-essential and safety-critical aerospace applications

Integrated System Health Management (ISHM) is a promising technology that fuses sensor data and historical state-of-health information of components and subsystems to provide actionable information and enable intelligent decision-making regarding the operation and maintenance of aerospace systems. ISHM fundamentally relies on assessments and predictions of system health, including the early detection of failures and estimation of Remaining Useful Life (RUL). Model-based, data-driven or hybrid reasoning techniques can be utilized to maximise the timeliness and reliability of diagnosis and prognosis information. The benefits of ISHM include enhancing the maintainability, reliability, safety and performance of systems. The next evolution of the ISHM concept, Intelligent Health and Mission Management (IHMM), delves deeper into the utilization of on-line system health predictions to modify mission profiles to ensure safety and reliability, as well as efficiency through predictive integrity. This concept is particularly important for Trusted Autonomous System (TAS) applications, where an accurate assessment of the current and future system state-of-health to make operational decisions (with or without human intervention) is integral to both flight safety and mission success. IHMM systems introduce the capability of predicting degradation in the functional performance of subsystems, with sufficient time to dynamically identify which appropriate restorative or reconfiguration actions to take in order to ensure that the system can perform at an acceptable level of operational capability before the onset of a failure event. This paper reviews some of the key advancements and contributions to knowledge in the field of ISHM for the aerospace industry, with a particular focus on various architectures and reasoning strategies involving the use of artificial intelligence. The paper also discusses the key challenges faced in the development and deployment of ISHM systems in the aerospace industry and highlights the safety-critical role that IHMM will play in future cyber-physical and autonomous system applications (both vehicle and ground support systems), such as Unmanned Aircraft Systems (UAS) Traffic Management (UTM), Urban Air Mobility (UAM) and Distributed Satellite Systems (DSS).

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来源期刊
Progress in Aerospace Sciences
Progress in Aerospace Sciences 工程技术-工程:宇航
CiteScore
20.20
自引率
3.10%
发文量
41
审稿时长
5 months
期刊介绍: "Progress in Aerospace Sciences" is a prestigious international review journal focusing on research in aerospace sciences and its applications in research organizations, industry, and universities. The journal aims to appeal to a wide range of readers and provide valuable information. The primary content of the journal consists of specially commissioned review articles. These articles serve to collate the latest advancements in the expansive field of aerospace sciences. Unlike other journals, there are no restrictions on the length of papers. Authors are encouraged to furnish specialist readers with a clear and concise summary of recent work, while also providing enough detail for general aerospace readers to stay updated on developments in fields beyond their own expertise.
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