نتایج جستجو برای: automobile shock absorber
تعداد نتایج: 121171 فیلتر نتایج به سال:
This paper investigates the feasibility of using machine learning algorithms to predict the loads experienced by a landing gear during landing. For this purpose, results on drop test data and flight test data will be examined. This paper will focus on the use of Gaussian Process regression for the prediction of loads on components of a landing gear. For the learning task, comprehensive measurem...
چکیده ندارد.
The practical problems that usually come up during the on-vehicle testing of motor car shock absorbers have been discussed. Results example tests carried out to EUSAMA standard procedure were compared test results obtained with using newer methods, i.e. phase angle method and half power bandwidth (HPBM). issue incompatibility typical excitation applied by diagnostic suspension testers one often...
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