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

被引:1
作者
Yu, Sunquan [1 ]
Luo, Kai [2 ]
Fan, Chengguang [3 ]
Fu, Kangjia [1 ]
Wu, Xuesong [1 ]
Chen, Yong [4 ]
Zhang, Xiang [1 ]
机构
[1] Acad Mil Sci, Def Innovat Inst, 53 Fengtai East St, Beijing 100071, Peoples R China
[2] Southern Univ Sci & Technol, Shenzhen Key Lab Intelligent Mfg Continuous Carbon, Shenzhen 518055, Peoples R China
[3] Natl Univ Def Technol, Coll Aerosp Sci & Engn, 109 Deya Rd, Changsha 410073, Peoples R China
[4] Chengdu Fluid Dynam Innovat Ctr, Chengdu 610031, Peoples R China
基金
中国国家自然科学基金;
关键词
Guided waves; Structural health monitoring; Spacecraft safety; Anomaly detection; Aerospace reliability; IMPACT DETECTION; TIME-REVERSAL; LAMB-WAVES; HYPERVELOCITY IMPACTS; LOCALIZATION METHOD; COMPOSITE PLATES; SENSOR; DAMAGE; SIMULATION; LOCATION;
D O I
10.1016/j.ress.2024.110586
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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 GWsSHM 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.
引用
收藏
页数:21
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