Sunquan Yu , Kai Luo , Chengguang Fan , Kangjia Fu , Xuesong Wu , Yong Chen , Xiang Zhang
{"title":"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","authors":"Sunquan Yu , Kai Luo , Chengguang Fan , Kangjia Fu , Xuesong Wu , Yong Chen , Xiang Zhang","doi":"10.1016/j.ress.2024.110586","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":54500,"journal":{"name":"Reliability Engineering & System Safety","volume":"254 ","pages":"Article 110586"},"PeriodicalIF":9.4000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing spacecraft safety and longevity: A review of guided waves-based structural health monitoring\",\"authors\":\"Sunquan Yu , Kai Luo , Chengguang Fan , Kangjia Fu , Xuesong Wu , Yong Chen , Xiang Zhang\",\"doi\":\"10.1016/j.ress.2024.110586\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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.</div></div>\",\"PeriodicalId\":54500,\"journal\":{\"name\":\"Reliability Engineering & System Safety\",\"volume\":\"254 \",\"pages\":\"Article 110586\"},\"PeriodicalIF\":9.4000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Reliability Engineering & System Safety\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0951832024006574\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, INDUSTRIAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Reliability Engineering & System Safety","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0951832024006574","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
Advancing spacecraft safety and longevity: A review of guided waves-based structural health monitoring
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.
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.