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,...
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The Aeronautical and Astronautical Society of the Republic of China
2022
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my.utp.eprints.334672022-09-07T07:04:44Z Data-driven Methods for Damage Detection and Identification of UAV: A Review Ma, Y. Mustapha, F. Ishak, M.R. Rahim, S.A. Mustapha, M. 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. © 2022 The Aeronautical and Astronautical Society of the Republic of China. All rights reserved. The Aeronautical and Astronautical Society of the Republic of China 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134880420&doi=10.6125%2fJoAAA.202212_54%284%29.04&partnerID=40&md5=fa53c8e8aa033a1d965b86b7469ddf17 Ma, Y. and Mustapha, F. and Ishak, M.R. and Rahim, S.A. and Mustapha, M. (2022) Data-driven Methods for Damage Detection and Identification of UAV: A Review. Journal of Aeronautics, Astronautics and Aviation, 54 (4). pp. 405-420. http://eprints.utp.edu.my/33467/ |
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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. © 2022 The Aeronautical and Astronautical Society of the Republic of China. All rights reserved. |
| format |
Article |
| author |
Ma, Y. Mustapha, F. Ishak, M.R. Rahim, S.A. Mustapha, M. |
| spellingShingle |
Ma, Y. Mustapha, F. Ishak, M.R. Rahim, S.A. Mustapha, M. Data-driven Methods for Damage Detection and Identification of UAV: A Review |
| author_facet |
Ma, Y. Mustapha, F. Ishak, M.R. Rahim, S.A. Mustapha, M. |
| author_sort |
Ma, Y. |
| title |
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_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_sort |
data-driven methods for damage detection and identification of uav: a review |
| publisher |
The Aeronautical and Astronautical Society of the Republic of China |
| publishDate |
2022 |
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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134880420&doi=10.6125%2fJoAAA.202212_54%284%29.04&partnerID=40&md5=fa53c8e8aa033a1d965b86b7469ddf17 http://eprints.utp.edu.my/33467/ |
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