A Light Amphibious Airplane's Drop Test Identification Using Multi Kernel Least Square Support Vector Machines
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Creator 1. S. Chinvorarat
2. B. Watjatrakul
3. P. Nimdum
4. T. Sangpet
5. P. Vallikul
Title A Light Amphibious Airplane's Drop Test Identification Using Multi Kernel Least Square Support Vector Machines
Publisher Thai Society of Mechanical Engineers (TSME)
Publication Year 2566
Journal Title Journal of Research and Applications in Mechanical Engineering (JRAME)
Journal Vol. 11
Journal No. 1
Page no. JRAME-23-11-001 (p.1-15)
Keyword Multi-kernel LS-SVM, Gaussian radial basis, Landing gear drop dynamics, Light amphibious airplane
URL Website https://ph01.tci-thaijo.org/index.php/jrame/index
Website title Journal of Research and Applications in Mechanical Engineering (JRAME)
ISSN 2229-2152
Abstract This article uses multi-kernel least square support vector machines to determine the drop test dynamics for a light amphibious aircraft's stock strut landing gear. The kernel function to assess system nonlinearity is the Gaussian radial basis. The suggested multi-kernel LS-SVM model has shown to provide more accurate displacement output estimation than the traditional LS-SVM model, with RMSE values of 0.21766 and 0.062726 for the strut and wheel of the landing gear, respectively. The drop test of the light amphibious aircraft is conducted to validate the identification capabilities.
Journal of Research and Applications in Mechanical Engineering

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