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...
| Main Authors: | , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41738/ 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/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