Developing a nondestructive test system using drone for aircraft inspection
Safety has always been the most important thing in the aircraft industry. Every aircraft has to be inspected and repaired if there are any defects. The current existing method of aircraft inspection requires heavy machinery, and it is time-consuming. This project is to make an alternative method for...
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American Institute of Physics Inc.
2024
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| _version_ | 1833412220929703936 |
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| author | Azami M.I.M. Mohamed H. Rafaai Z.F.M. |
| author2 | 58286123400 |
| author_facet | 58286123400 Azami M.I.M. Mohamed H. Rafaai Z.F.M. |
| author_sort | Azami M.I.M. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Safety has always been the most important thing in the aircraft industry. Every aircraft has to be inspected and repaired if there are any defects. The current existing method of aircraft inspection requires heavy machinery, and it is time-consuming. This project is to make an alternative method for inspectors to do a visual inspection that is more efficient than the existing method. For the project, Intel Realsense Depth Camera D435i was used for its depth capability and DJI Phantom 4 Pro V2 as the drone for the new system. Tests were done to analyse the device's accuracy to see if it can be used in an aircraft inspection. The tests involve depth analysis system test, the wireless range for system test, and drone camera movement test with a depth camera. Depth analysis system test has few tests such as maximum distance test, horizontal angled camera test and vertical angle camera test. For the maximum distance test, the distance obtained was 130 cm. The result obtained for the horizontal angle test is that the camera can get accurate data from 60� to 90� horizontally, measured from the aluminium plane surface. In contrast, it can get accurate data from 80� to 90� from the plane surface for the vertical angle test. � 2023 AIP Publishing LLC. |
| format | Conference Paper |
| id | my.uniten.dspace-34201 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2024 |
| publisher | American Institute of Physics Inc. |
| record_format | dspace |
| spelling | my.uniten.dspace-342012024-10-14T11:18:24Z Developing a nondestructive test system using drone for aircraft inspection Azami M.I.M. Mohamed H. Rafaai Z.F.M. 58286123400 57136356100 58092875800 Safety has always been the most important thing in the aircraft industry. Every aircraft has to be inspected and repaired if there are any defects. The current existing method of aircraft inspection requires heavy machinery, and it is time-consuming. This project is to make an alternative method for inspectors to do a visual inspection that is more efficient than the existing method. For the project, Intel Realsense Depth Camera D435i was used for its depth capability and DJI Phantom 4 Pro V2 as the drone for the new system. Tests were done to analyse the device's accuracy to see if it can be used in an aircraft inspection. The tests involve depth analysis system test, the wireless range for system test, and drone camera movement test with a depth camera. Depth analysis system test has few tests such as maximum distance test, horizontal angled camera test and vertical angle camera test. For the maximum distance test, the distance obtained was 130 cm. The result obtained for the horizontal angle test is that the camera can get accurate data from 60� to 90� horizontally, measured from the aluminium plane surface. In contrast, it can get accurate data from 80� to 90� from the plane surface for the vertical angle test. � 2023 AIP Publishing LLC. Final 2024-10-14T03:18:24Z 2024-10-14T03:18:24Z 2023 Conference Paper 10.1063/5.0119887 2-s2.0-85160106332 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85160106332&doi=10.1063%2f5.0119887&partnerID=40&md5=23e9efa6c1f82c98fcaa651131213677 https://irepository.uniten.edu.my/handle/123456789/34201 2544 40016 American Institute of Physics Inc. Scopus |
| spellingShingle | Azami M.I.M. Mohamed H. Rafaai Z.F.M. Developing a nondestructive test system using drone for aircraft inspection |
| title | Developing a nondestructive test system using drone for aircraft inspection |
| title_full | Developing a nondestructive test system using drone for aircraft inspection |
| title_fullStr | Developing a nondestructive test system using drone for aircraft inspection |
| title_full_unstemmed | Developing a nondestructive test system using drone for aircraft inspection |
| title_short | Developing a nondestructive test system using drone for aircraft inspection |
| title_sort | developing a nondestructive test system using drone for aircraft inspection |
| url_provider | http://dspace.uniten.edu.my/ |