Citation
Abstract
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.
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Additional Metadata
| Item Type: | Article |
|---|---|
| Divisions: | Faculty of Engineering Institute of Tropical Forestry and Forest Products |
| DOI Number: | https://doi.org/10.6125/JoAAA.202212_54(4).04 |
| Publisher: | Aeronautical and Astronautical Society of the Republic of China, Taiwan |
| Keywords: | Data-driven; Damage detection and identification; UAVs |
| Depositing User: | Ms. Nur Faseha Mohd Kadim |
| Date Deposited: | 26 Jul 2023 02:50 |
| Last Modified: | 26 Jul 2023 02:50 |
| Altmetrics: | http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.6125/JoAAA.202212_54(4).04 |
| URI: | http://psasir.upm.edu.my/id/eprint/100871 |
| Statistic Details: | View Download Statistic |
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