Inspection of aircraft wing panels using unmanned aerial vehicles

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dc.contributor.author Tzitzilonis, Vasileios
dc.contributor.author Malandrakis, Konstantinos
dc.contributor.author Zanotti Fragonara, Luca
dc.contributor.author Gonzalez Domingo, Jose Angel
dc.contributor.author Avdelidis, Nicolas P.
dc.contributor.author Tsourdos, Antonios
dc.contributor.author Forster, Kevin
dc.date.accessioned 2019-05-08T10:55:32Z
dc.date.available 2019-05-08T10:55:32Z
dc.date.issued 2019-04-17
dc.identifier.citation Vasileios Tzitzilonis, Konstantinos Malandrakis, Luca Zanotti Fragonara, et al., Inspection of aircraft wing panels using unmanned aerial vehicles. Sensors, 2019, Volume 19, Issue 8, Article number 1824 en_UK
dc.identifier.issn 1424-8220
dc.identifier.uri https://doi.org/10.3390/s19081824
dc.identifier.uri http://dspace.lib.cranfield.ac.uk/handle/1826/14139
dc.description.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. In addition, two defect detection algorithms were implemented and tested on a dataset containing images obtained during inspection at Airbus facilities. The results show that for the current dataset the proposed methods can identify all the images containing defects. en_UK
dc.language.iso en en_UK
dc.publisher MDPI en_UK
dc.rights Attribution 4.0 International *
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ *
dc.subject Non-Destructive Testing en_UK
dc.subject ultraviolet light en_UK
dc.subject automated inspection en_UK
dc.subject defects detection en_UK
dc.subject UAV en_UK
dc.subject image processing en_UK
dc.title Inspection of aircraft wing panels using unmanned aerial vehicles en_UK
dc.type Article en_UK


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