eprintid: 16152
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/61/52
datestamp: 2023-12-19 03:22:42
lastmod: 2023-12-19 03:22:42
status_changed: 2023-12-19 03:05:44
type: article
metadata_visibility: show
creators_name: Ma, Y.
creators_name: Mustapha, F.
creators_name: Ishak, M.R.
creators_name: Rahim, S.A.
creators_name: Mustapha, M.
title: Data-driven Methods for Damage Detection and Identification of UAV: A Review
ispublished: pub
keywords: Aircraft detection; Damage detection; Unmanned aerial vehicles (UAV), Aerial vehicle; Complex environments; Damage detection and identification; Data driven; Data-driven methods; Model-based method; Number of methods; Unmanned aerial vehicle, Antennas
note: cited By 4
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. © 2022 The Aeronautical and Astronautical Society of the Republic of China. All rights reserved.
date: 2022
publisher: The Aeronautical and Astronautical Society of the Republic of China
official_url: 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
id_number: 10.6125/JoAAA.20221254(4).04
full_text_status: none
publication: Journal of Aeronautics, Astronautics and Aviation
volume: 54
number: 4
pagerange: 405-420
refereed: TRUE
issn: 19907710
citation:   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