<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "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, 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."^^ . "2022" . . "54" . "4" . . "The Aeronautical and Astronautical Society of the Republic of China"^^ . . . "Journal of Aeronautics, Astronautics and Aviation"^^ . . . "19907710" . . . . . . . . . . . . . . . . . . . "F."^^ . "Mustapha"^^ . "F. Mustapha"^^ . . "Y."^^ . "Ma"^^ . "Y. Ma"^^ . . "M.R."^^ . "Ishak"^^ . "M.R. Ishak"^^ . . "M."^^ . "Mustapha"^^ . "M. Mustapha"^^ . . "S.A."^^ . "Rahim"^^ . "S.A. Rahim"^^ . . . . . "HTML Summary of #16152 \n\nData-driven Methods for Damage Detection and Identification of UAV: A Review\n\n" . "text/html" . .