Advancing spacecraft safety and longevity: A review of guided waves-based structural health monitoring

IF 9.4 1区工程技术 Q1 ENGINEERING, INDUSTRIAL

Reliability Engineering & System Safety Pub Date : 2024-10-28 DOI:10.1016/j.ress.2024.110586

Sunquan Yu , Kai Luo , Chengguang Fan , Kangjia Fu , Xuesong Wu , Yong Chen , Xiang Zhang

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引用次数: 0

Abstract

The reusability and prolonged operation of spacecraft underscore the critical need for advanced structural health monitoring (SHM) systems. Guided waves-based SHM (GWs-SHM) offers an effective solution with its comprehensive coverage, enhanced sensitivity, and real-time monitoring capabilities, addressing the imperative for rapid anomaly detection and fault diagnosis. This study examines the application of GWs-SHM in spacecraft, focusing on the localization of space debris impacts, structural damage assessment, and leak detection. It discusses the challenges faced by spacecraft components and emphasizes the need for sophisticated SHM systems. Recent theoretical and methodological advancements in guided wave modeling and simulation are also reviewed. The paper further explores the integration of GWs-SHM with emerging aerospace technologies, such as space robots, artificial intelligence, multi-sensors data fusion, guided-wave based wireless communication and energy transmission. This work envisions significant advancements in spacecraft safety and operational longevity through the development of cutting-edge GWs-SHM technologies, urging for continuous innovation in sensor technology, algorithm development, and the integration of artificial intelligence for smarter decision-making in the challenging space environment.

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提高航天器的安全性和寿命：基于导波的结构健康监测综述

航天器的可重复使用性和长期运行强调了对先进结构健康监测（SHM）系统的迫切需要。基于导波的结构健康监测（GWs-SHM）以其全面的覆盖范围、更高的灵敏度和实时监测能力提供了有效的解决方案，解决了快速异常检测和故障诊断的迫切需要。本研究探讨了 GWs-SHM 在航天器中的应用，重点是空间碎片撞击定位、结构损坏评估和泄漏检测。它讨论了航天器组件所面临的挑战，并强调了对复杂的 SHM 系统的需求。论文还回顾了导波建模和仿真在理论和方法上的最新进展。论文进一步探讨了 GWs-SHM 与空间机器人、人工智能、多传感器数据融合、基于导波的无线通信和能量传输等新兴航空航天技术的整合。这项工作设想通过开发尖端的 GWs-SHM 技术，大大提高航天器的安全性和运行寿命，敦促在传感器技术、算法开发和人工智能集成方面不断创新，以便在充满挑战的空间环境中做出更明智的决策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Reliability Engineering & System Safety 管理科学-工程：工业

CiteScore

15.20

自引率

39.50%

发文量

621

审稿时长

67 days

期刊介绍： Elsevier publishes Reliability Engineering & System Safety in association with the European Safety and Reliability Association and the Safety Engineering and Risk Analysis Division. The international journal is devoted to developing and applying methods to enhance the safety and reliability of complex technological systems, like nuclear power plants, chemical plants, hazardous waste facilities, space systems, offshore and maritime systems, transportation systems, constructed infrastructure, and manufacturing plants. The journal normally publishes only articles that involve the analysis of substantive problems related to the reliability of complex systems or present techniques and/or theoretical results that have a discernable relationship to the solution of such problems. An important aim is to balance academic material and practical applications.