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

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 fitn...

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Hlavní autoři: Mohd Sharif, Zakaria, Mohammad Fadhil, Abas, Fatimah, Dg Jamil, Norhafidzah, Mohd Saad, Addie, Irawan, Pebrianti, Dwi
Médium: Conference or Workshop Item
Jazyk:English
English
Vydáno: Institute of Electrical and Electronics Engineers Inc. 2024
Témata:
T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
On-line přístup:http://umpir.ump.edu.my/id/eprint/41738/1/Detecting%20problematic%20vibration%20on%20unmanned%20aerial%20vehicles.pdf
http://umpir.ump.edu.my/id/eprint/41738/2/Detecting%20problematic%20vibration%20on%20unmanned%20aerial%20vehicles%20via%20genetic-algorithm%20methods_ABS.pdf

Internet

http://umpir.ump.edu.my/id/eprint/41738/1/Detecting%20problematic%20vibration%20on%20unmanned%20aerial%20vehicles.pdf
http://umpir.ump.edu.my/id/eprint/41738/2/Detecting%20problematic%20vibration%20on%20unmanned%20aerial%20vehicles%20via%20genetic-algorithm%20methods_ABS.pdf

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