TY  - JOUR
KW  - Aircraft detection; Damage detection; Unmanned aerial vehicles (UAV)
KW  -  Aerial vehicle; Complex environments; Damage detection and identification; Data driven; Data-driven methods; Model-based method; Number of methods; Unmanned aerial vehicle
KW  -  Antennas
ID  - scholars16152
N2  - 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.
IS  - 4
Y1  - 2022///
VL  - 54
UR  - 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
JF  - Journal of Aeronautics, Astronautics and Aviation
A1  - Ma, Y.
A1  - Mustapha, F.
A1  - Ishak, M.R.
A1  - Rahim, S.A.
A1  - Mustapha, M.
AV  - none
TI  - Data-driven Methods for Damage Detection and Identification of UAV: A Review
SP  - 405
N1  - cited By 4
SN  - 19907710
PB  - The Aeronautical and Astronautical Society of the Republic of China
EP  - 420
ER  -