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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oai:scholars.utp.edu.my:340002022-12-28T07:44:25Z http://scholars.utp.edu.my/id/eprint/34000/ 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 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. ISSN 19907710 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 10.6125/JoAAA.20221254(4).04 10.6125/JoAAA.20221254(4).04 10.6125/JoAAA.20221254(4).04 |
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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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http://scholars.utp.edu.my/id/eprint/34000/ 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 |
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13.211869 |