Zakaria, Mohd Sharif and Abas, Mohammad Fadhil and Dg Jamil, Fatimah and Mohd Saad, Norhafidzah and Hashim, Addie Irawan and Pebrianti, Dwi (2024) Detecting problematic vibration on unmanned aerial vehicles via genetic-algorithm methods. In: 20th International Colloquium on Signal Processing & Its Applications (CSPA 2024), 1st - 2nd March 2024, Langkawi, Malaysia.
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Abstract
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 function based on the frequency domain has been detailed. The fitness function with the Genetic Algorithm (GA) optimization method is tested and evaluated based on Root Mean Squared Error (RMSE), Mean Absolute Percentage Error (MAPE), and detection time. 51 sets of data have been collected using software in the loop (SITL) methods and are used to determine the effectiveness of the proposed fitness function and GA. The test results show promising results with obtained mean RMSE =1407.2303, mean MAPE =0.7135, and mean detection time =2.6129s for a data range of between 3955 to 9057.
| Item Type: | Proceeding Paper (Slide Presentation) |
|---|---|
| Uncontrolled Keywords: | Problematic Vibration, Genetic Algorithm, Frequency-Domain, Root Mean Square Error, Mean Absolute Percentage Error |
| Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ212 Control engineering T Technology > TL Motor vehicles. Aeronautics. Astronautics T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL500 Aeronautics |
| Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): | Kulliyyah of Engineering Kulliyyah of Engineering > Department of Mechanical Engineering |
| Depositing User: | Dr Dwi Pebrianti |
| Date Deposited: | 23 May 2024 14:17 |
| Last Modified: | 04 Jun 2024 08:56 |
| URI: | http://irep.iium.edu.my/id/eprint/112276 |
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