A Review on Visual Inspection Methods for Aircraft Maintenance
During aircraft maintenance, the control of damages such as crack, burn, corrosion should be done precisely. Therefore, the process can take a long time. In the case of rapid control, errors cannot be detected properly. However, since the control process is usually carried out by naked eye, it is qu...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Turkish Air Force Academy
2021-07-01
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| Series: | Havacılık ve Uzay Teknolojileri Dergisi |
| Subjects: | |
| Online Access: | http://jast.hho.edu.tr/index.php/JAST/article/view/463 |
| _version_ | 1828019551299698688 |
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| author | Mustafa BÖYÜK Ramazan DUVAR Oğuzhan URHAN |
| author_facet | Mustafa BÖYÜK Ramazan DUVAR Oğuzhan URHAN |
| author_sort | Mustafa BÖYÜK |
| collection | DOAJ |
| description | During aircraft maintenance, the control of damages such as crack, burn, corrosion should be done precisely. Therefore, the process can take a long time. In the case of rapid control, errors cannot be detected properly. However, since the control process is usually carried out by naked eye, it is quite open to human-induced risks. In recent years, with the expansion of the application area of artificial intelligence, the use of modern techniques in aircraft maintenance and breakdown operations has been increasing in the aviation industry. In this study, deep learning-based visual inspection methods involved in aircraft maintenance and repair are surveyed. |
| first_indexed | 2024-04-10T11:21:56Z |
| format | Article |
| id | doaj.art-238319d4fc6546ce93bf11b582780f3c |
| institution | Directory Open Access Journal |
| issn | 1304-0448 1304-0448 |
| language | English |
| last_indexed | 2024-04-10T11:21:56Z |
| publishDate | 2021-07-01 |
| publisher | Turkish Air Force Academy |
| record_format | Article |
| series | Havacılık ve Uzay Teknolojileri Dergisi |
| spelling | doaj.art-238319d4fc6546ce93bf11b582780f3c2023-02-15T16:18:34ZengTurkish Air Force AcademyHavacılık ve Uzay Teknolojileri Dergisi1304-04481304-04482021-07-01142185192A Review on Visual Inspection Methods for Aircraft MaintenanceMustafa BÖYÜK0https://orcid.org/0000-0002-1196-7634Ramazan DUVAR1https://orcid.org/0000-0002-1159-3601Oğuzhan URHAN2https://orcid.org/0000-0002-0352-1560Kocaeli UniversityKocaeli UniversityKocaeli UniversityDuring aircraft maintenance, the control of damages such as crack, burn, corrosion should be done precisely. Therefore, the process can take a long time. In the case of rapid control, errors cannot be detected properly. However, since the control process is usually carried out by naked eye, it is quite open to human-induced risks. In recent years, with the expansion of the application area of artificial intelligence, the use of modern techniques in aircraft maintenance and breakdown operations has been increasing in the aviation industry. In this study, deep learning-based visual inspection methods involved in aircraft maintenance and repair are surveyed.http://jast.hho.edu.tr/index.php/JAST/article/view/463aircraftvisual inspectionmaintenancedeep learning |
| spellingShingle | Mustafa BÖYÜK Ramazan DUVAR Oğuzhan URHAN A Review on Visual Inspection Methods for Aircraft Maintenance Havacılık ve Uzay Teknolojileri Dergisi aircraft visual inspection maintenance deep learning |
| title | A Review on Visual Inspection Methods for Aircraft Maintenance |
| title_full | A Review on Visual Inspection Methods for Aircraft Maintenance |
| title_fullStr | A Review on Visual Inspection Methods for Aircraft Maintenance |
| title_full_unstemmed | A Review on Visual Inspection Methods for Aircraft Maintenance |
| title_short | A Review on Visual Inspection Methods for Aircraft Maintenance |
| title_sort | review on visual inspection methods for aircraft maintenance |
| topic | aircraft visual inspection maintenance deep learning |
| url | http://jast.hho.edu.tr/index.php/JAST/article/view/463 |
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