Data-driven methods for damage detection and identification of UAV: a review
Nowadays, UAVs (Unmanned aerial vehicles) have been used widely in various industries. UAVs are normally powered by a rotor installed with the propeller and often operated in complex environments which makes the UAV prone to failure. In order to reduce accidents and improve the reliability of UAVs,...
| Main Authors: | , , , , |
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| Format: | Article |
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Aeronautical and Astronautical Society of the Republic of China, Taiwan
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100871/ |
| _version_ | 1848863435351130112 |
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| author | Ma, Yumeng Mustapha, F. Ishak, M.R. Abdul Rahim, Sharafiz Mustapha, Mazlina |
| author_facet | Ma, Yumeng Mustapha, F. Ishak, M.R. Abdul Rahim, Sharafiz Mustapha, Mazlina |
| author_sort | Ma, Yumeng |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Nowadays, UAVs (Unmanned aerial vehicles) have been used widely in various industries. UAVs are normally powered by a rotor installed with the propeller and often operated in complex environments which makes the UAV prone to failure. In order to reduce accidents and improve the reliability of UAVs, a number of methods have been proposed in this paper. Basically, these methods can be divided into model-based methods and data-driven methods. With the emergence of big data analysis, the data-driven method has attracted more and more attention. This method has demonstrated outstanding ability in the field of damage detection and identification. In this paper, a variety of damage detection and identification for UAVs based on data-driven methods are listed and compared. Both advantages and disadvantages of each method are discussed. Furthermore, the application of the data-driven method in other industries is also mentioned in the work. |
| first_indexed | 2025-11-15T13:32:52Z |
| format | Article |
| id | upm-100871 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:32:52Z |
| publishDate | 2022 |
| publisher | Aeronautical and Astronautical Society of the Republic of China, Taiwan |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1008712023-07-26T02:50:15Z http://psasir.upm.edu.my/id/eprint/100871/ Data-driven methods for damage detection and identification of UAV: a review Ma, Yumeng Mustapha, F. Ishak, M.R. Abdul Rahim, Sharafiz Mustapha, Mazlina Nowadays, UAVs (Unmanned aerial vehicles) have been used widely in various industries. UAVs are normally powered by a rotor installed with the propeller and often operated in complex environments which makes the UAV prone to failure. In order to reduce accidents and improve the reliability of UAVs, a number of methods have been proposed in this paper. Basically, these methods can be divided into model-based methods and data-driven methods. With the emergence of big data analysis, the data-driven method has attracted more and more attention. This method has demonstrated outstanding ability in the field of damage detection and identification. In this paper, a variety of damage detection and identification for UAVs based on data-driven methods are listed and compared. Both advantages and disadvantages of each method are discussed. Furthermore, the application of the data-driven method in other industries is also mentioned in the work. Aeronautical and Astronautical Society of the Republic of China, Taiwan 2022-12-01 Article PeerReviewed Ma, Yumeng and Mustapha, F. and Ishak, M.R. and Abdul Rahim, Sharafiz and Mustapha, Mazlina (2022) Data-driven methods for damage detection and identification of UAV: a review. Journal of Aeronautics, Astronautics and Aviation, 54 (4). art. no. 4. 405 - 420. ISSN 1990-7710 https://www.ipress.tw/J0039?pWebID=588&pType=4&mSeq=1 10.6125/JoAAA.202212_54(4).04 |
| spellingShingle | Ma, Yumeng Mustapha, F. Ishak, M.R. Abdul Rahim, Sharafiz Mustapha, Mazlina Data-driven methods for damage detection and identification of UAV: a review |
| title | Data-driven methods for damage detection and identification of UAV: a review |
| title_full | Data-driven methods for damage detection and identification of UAV: a review |
| title_fullStr | Data-driven methods for damage detection and identification of UAV: a review |
| title_full_unstemmed | Data-driven methods for damage detection and identification of UAV: a review |
| title_short | Data-driven methods for damage detection and identification of UAV: a review |
| title_sort | data-driven methods for damage detection and identification of uav: a review |
| url | http://psasir.upm.edu.my/id/eprint/100871/ http://psasir.upm.edu.my/id/eprint/100871/ http://psasir.upm.edu.my/id/eprint/100871/ |