Inspection of Aircraft Wing Panels Using Unmanned Aerial Vehicles

Konstantinos Malandrakis, A. Savvaris, Jose Angel Gonzalez Domingo, Nick Avdelidis, Panagiotis Tsilivis, Florence Plumacker, L. Z. Fragonara, Antonios Tsourdos
{"title":"Inspection of Aircraft Wing Panels Using Unmanned Aerial Vehicles","authors":"Konstantinos Malandrakis, A. Savvaris, Jose Angel Gonzalez Domingo, Nick Avdelidis, Panagiotis Tsilivis, Florence Plumacker, L. Z. Fragonara, Antonios Tsourdos","doi":"10.1109/METROAEROSPACE.2018.8453598","DOIUrl":null,"url":null,"abstract":"In large civil aircraft manufacturing a time-consuming post-production process is the non-destructive inspection of wing panels. This work aims to address this challenge and improve the defects' detection by performing automated aerial inspection using a small off-the-shelf multirotor. The UAV is equipped with a wide field-of-view camera and an ultraviolet torch for implementing non-invasive imaging inspection. In particular, the UAV is programmed to perform the complete mission and stream video, in real-time, to the ground control station where the defects' detection algorithm is executed. The proposed platform was mathematically modelled in MATLAB/SIMULINK in order to assess the behaviour of the system using a path following method during the aircraft wing inspection. The UAV was tested in the lab where a six-meter-long wing panel was one-side inspected. Initial results indicate that this inspection method could reduce significantly the inspection time, cost, and workload, whilst potentially increasing the probability of detection.","PeriodicalId":142603,"journal":{"name":"2018 5th IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th IEEE International Workshop on Metrology for AeroSpace (MetroAeroSpace)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METROAEROSPACE.2018.8453598","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In large civil aircraft manufacturing a time-consuming post-production process is the non-destructive inspection of wing panels. This work aims to address this challenge and improve the defects' detection by performing automated aerial inspection using a small off-the-shelf multirotor. The UAV is equipped with a wide field-of-view camera and an ultraviolet torch for implementing non-invasive imaging inspection. In particular, the UAV is programmed to perform the complete mission and stream video, in real-time, to the ground control station where the defects' detection algorithm is executed. The proposed platform was mathematically modelled in MATLAB/SIMULINK in order to assess the behaviour of the system using a path following method during the aircraft wing inspection. The UAV was tested in the lab where a six-meter-long wing panel was one-side inspected. Initial results indicate that this inspection method could reduce significantly the inspection time, cost, and workload, whilst potentially increasing the probability of detection.
使用无人驾驶飞行器检查飞机机翼面板
在大型民用飞机的制造过程中,翼板的无损检测是一个耗时的后期制作过程。这项工作旨在解决这一挑战,并通过使用小型现成的多旋翼进行自动空中检查来改进缺陷检测。UAV配备一个宽视场照相机和一个紫外手电筒用于执行非侵入性成像检查。特别是,无人机被编程为执行完整的任务和实时视频流,到执行缺陷检测算法的地面控制站。在MATLAB/SIMULINK中对所提出的平台进行了数学建模,以便在飞机机翼检查过程中使用路径跟踪方法评估系统的行为。无人机在实验室进行了测试,其中一个6米长的机翼面板进行了单边检查。初步结果表明,该检测方法可以显著减少检测时间、成本和工作量,同时潜在地提高检测概率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信