Інформаційні технології

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Browsing Інформаційні технології by Author "Khotunov, Vladyslav"

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    Devising an approach to assessing the durability of bus body on a frame chassis
    (ПП «ТЕХНОЛОГІЧНИЙ ЦЕНТР», Український державний університет залізничного транспорту, 2023) Ruban, Dmytro; Kraynyk, Lubomyr; Рубан, Ганна Яківна; Ruban, Hanna; Захарова, Марія В'ячеславівна; Zakharova, Maria; Metelap, Volodymyr; Хотунов, Владислав Ігорович; Khotunov, Vladyslav; Михайлюта, Сергій Леонтійович; Mykhaylyuta, Sergiy
    The object of this study is the processes and permissible limits of aging of bus bodies on the frame chassis during operation.As a result of research by simulation method, the durability of the bus on the frame chassis, was determined, which is in the range from 5 to 11 years depending on the operating conditions. The study took into account the following factors: passen-ger occupancy, microprofile of the road, bus speed, corrosion. The durability of the bus depends pri-marily on the durability of the frame and body frame. Since the frame is made of alloy steels and heat-treated, it is not repaired but replaced with a new one when cracks in the frame are formed.When determining the durability of the bus on the frame chassis, it was found that the frame has 1.5–1.8 times greater durability than the body frame itself. This is because the frame is made of alloyed materials and has an open structure. The body frame has closed cavities, which provoke the development of corrosion with the accumulation of moisture in them.A feature of the results is that previous studies considered buses only with a load-bearing body structure.The issue of durability of bodies on the frame chassis has been considered. As experience shows, the durability of bus bodies on a frame chassis depends on many operational factors. For operat-ing organizations and manufacturing plants, it is important to provide for the durability of the bus depending on the operating conditions. The results of this study will allow operating organizations to provide for scheduled repairs, as well as take measures to increase the service life of buses during operation. For manufacturing plants, the findings will make it possible to apply rational technologies and materials to form the service life of the bus body.
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    Estimating parameters of linear regression with an exponential power distribution of errors by using a polynomial maximization method
    (ПП «ТЕХНОЛОГІЧНИЙ ЦЕНТР», Український державний університет залізничного транспорту, 2021) Заболотній, Сергій Васильович; Zabolotnii, Serhii; Хотунов, Владислав Ігорович; Khotunov, Vladyslav; Чепинога, Анатолій Володимирович; Chepynoha, Anatolii; Ткаченко, Олександр Миколайович; Tkachenko, O.M.
    This paper considers the application of a method for maximizing polynomials in order to find estimates of the parameters of a multifactorial linear regression provided the random errors of the regression model follow an exponential power distribution. The method used is conceptually close to a maximum likelihood method because it is based on the maximization of selective statistics in the neighborhood of the true values of the evaluated parameters. However, in contrast to the classical parametric approach, it employs a partial probabilistic description in the form of a limited number of statistics of higher orders. The adaptive algorithm of statistical estimation has been synthesized, which takes into consideration the properties of regression residues and makes it possible to find refined values for the estimates of the parameters of a linear multifactorial regression using the numerical Newton-Rafson iterative procedure. Based on the apparatus of the quantity of extracted information, the analytical expressions have been derived that make it possible to analyze the theoretical accuracy (asymptotic variances) of estimates for the method of maximizing polynomials depending on the magnitude of the exponential power distribution parameters. Statistical modeling was employed to perform a comparative analysis of the variance of estimates obtained using the method of maximizing polynomials with the accuracy of classical methods: the least squares and maximum likelihood. Regions of the greatest efficiency for each studied method have been constructed, depending on the magnitude of the parameter of the form of exponential power distribution and sample size. It has been shown that estimates from the polynomial maximization method may demonstrate a much lower variance compared to the estimates from a least-square method. And, in some cases (for flat-topped distributions and in the absence of a priori information), may exceed the estimates from the maximum likelihood method in terms of accuracy.