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Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods

Unmanned Aerial Vehicles (UAV) problematic vibration detection as a flaw detection and identification (FDI) method has emerged as a feasible tool for assessing a UAV’s health and condition. This paper shows the potential of optimization-based UAV problematic vibration detection. A proposed fitness f...

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Bibliographic Details
Main Authors: Zakaria, Mohd Sharif, Abas, Mohammad Fadhil, Dg Jamil, Fatimah, Mohd Saad, Norhafidzah, Hashim, Addie Irawan, Pebrianti, Dwi
Format: Proceeding Paper
Language:English
English
Published: IEEE 2024
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
TJ212 Control engineering
TL Motor vehicles. Aeronautics. Astronautics
TL500 Aeronautics
Online Access:http://irep.iium.edu.my/112276/1/112276_Detecting%20problematic%20vibration.pdf
http://irep.iium.edu.my/112276/2/112276_Detecting%20problematic%20vibration_SCOPUS.pdf
http://irep.iium.edu.my/112276/
https://ieeexplore.ieee.org/document/10525348
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Internet

http://irep.iium.edu.my/112276/1/112276_Detecting%20problematic%20vibration.pdf
http://irep.iium.edu.my/112276/2/112276_Detecting%20problematic%20vibration_SCOPUS.pdf
http://irep.iium.edu.my/112276/
https://ieeexplore.ieee.org/document/10525348

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