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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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Main Authors: Ma, Yumeng, Mustapha, F., Ishak, M.R., Abdul Rahim, Sharafiz, Mustapha, Mazlina
Format: Article
Published: Aeronautical and Astronautical Society of the Republic of China, Taiwan 2022
Online Access:http://psasir.upm.edu.my/id/eprint/100871/
https://www.ipress.tw/J0039?pWebID=588&pType=4&mSeq=1
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spelling my.upm.eprints.1008712023-07-26T02:50:15Z http://psasir.upm.edu.my/id/eprint/100871/ Data-driven methods for damage detection and identification of UAV: a review Ma, Yumeng Mustapha, F. Ishak, M.R. Abdul Rahim, Sharafiz Mustapha, Mazlina 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. Aeronautical and Astronautical Society of the Republic of China, Taiwan 2022-12-01 Article PeerReviewed Ma, Yumeng and Mustapha, F. and Ishak, M.R. and Abdul Rahim, Sharafiz and Mustapha, Mazlina (2022) Data-driven methods for damage detection and identification of UAV: a review. Journal of Aeronautics, Astronautics and Aviation, 54 (4). art. no. 4. 405 - 420. ISSN 1990-7710 https://www.ipress.tw/J0039?pWebID=588&pType=4&mSeq=1 10.6125/JoAAA.202212_54(4).04
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description 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.
format Article
author Ma, Yumeng
Mustapha, F.
Ishak, M.R.
Abdul Rahim, Sharafiz
Mustapha, Mazlina
spellingShingle Ma, Yumeng
Mustapha, F.
Ishak, M.R.
Abdul Rahim, Sharafiz
Mustapha, Mazlina
Data-driven methods for damage detection and identification of UAV: a review
author_facet Ma, Yumeng
Mustapha, F.
Ishak, M.R.
Abdul Rahim, Sharafiz
Mustapha, Mazlina
author_sort Ma, Yumeng
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 Aeronautical and Astronautical Society of the Republic of China, Taiwan
publishDate 2022
url http://psasir.upm.edu.my/id/eprint/100871/
https://www.ipress.tw/J0039?pWebID=588&pType=4&mSeq=1
_version_ 1773545502055333888
score 13.211869

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