https://dspace.mnau.edu.ua/jspui/handle/123456789/24985 Sat, 13 Jun 2026 21:07:05 GMT 2026-06-13T21:07:05Z https://dspace.mnau.edu.ua/jspui/handle/123456789/25325 Назва: Analysis of Influence of Cylinder Shell Thickness on Distribution Character of Dynamic Characteristics of Free Vibrations Автори: Grigorenko, O. Ya.; Borysenko, M. Yu.; Бойчук, Олена Володимирівна; Boichuk, Olena; Sperkach, S.O. Короткий огляд (реферат): The free vibrations of circular cylindrical shells with various thickness-to-midsurface radius ratios and different combinations of clamped and hinged edges of the shell are studied using the finite element method. The dependence of the natural frequency vibrations on the increase in the shell thickness is analyzed. The symmetric and asymmetric modes of free vibrations, frequencies, and modes of the vibrations corresponding to bending, torsion, tension-compression, and shear deformations are considered. Significant attention is paid to validation of the reliability of the numerical results. Опис: Повний текст статті доступний з сайту видавця за посиланням: https://link.springer.com/article/10.1007/s10778-026-01389-2 Wed, 01 Jan 2025 00:00:00 GMT https://dspace.mnau.edu.ua/jspui/handle/123456789/25325 2025-01-01T00:00:00Z https://dspace.mnau.edu.ua/jspui/handle/123456789/25324 Назва: Digital Twin for Integration of Control and Diagnostics of Electromechanical Systems Under Uncertainty Автори: Кошкін, Дмитро Леонідович; Koshkin, Dmitriy; Вахоніна, Лариса Володимирівна; Vakhonina, Larisa; Циганов, Олександр Миколайович; Tsyiganov, Aleksandr; Суковіцина, Ірина Миколаївна; Sukovitsyna, Iryna Короткий огляд (реферат): The study aimed to create a digital twin for the integration of control and diagnostics of electromechanical systems under conditions of uncertainty, with minimal reliance on physical sensors. The research was conducted at Mykolaiv National Agrarian University. Physically based models were developed for thermal processes in windings, assessment of losses in magnetic conductors, and wear indicators for components, virtual sensors, signal filtering algorithms and degradation prediction were implemented, and verification was conducted on test benches and in computer modelling. Quantitative results were obtained, which constitute the main contribution of the work: the accuracy of reproducing hidden parameters was 93.6-97%, the relative error of reproducing losses in the transformer was 3%, the relative error of thermal estimates was 3.5-6.8%, the correlation with reference measurements reached 0.99; the reduction in the dispersion of noisy signals was 33-41%, the signal-to-noise ratio increased by 4.2-6.7 decibels, and the root mean square error decreased by 35-44% with an additional delay of no more than 0.04 seconds. The models can be used in ship drives, biogas plants, robotic lines, irrigation pumping stations, transformer substations, hydraulic drives and traction electric drives, reducing downtime and energy consumption without changing the existing control infrastructure. Thu, 01 Jan 2026 00:00:00 GMT https://dspace.mnau.edu.ua/jspui/handle/123456789/25324 2026-01-01T00:00:00Z https://dspace.mnau.edu.ua/jspui/handle/123456789/25323 Назва: Integration of control and measurement devices into CAD models of industrial power systems: Metrological aspects of accuracy and impact on energy efficiency Автори: Вахоніна, Лариса Володимирівна; Vakhonina, Larisa; Садовий, Олексій Степанович; Sadovoy, Oleksiy; Мартиненко, Володимир Олександрович; Martynenko, Volodymyr; Руденко, Андрій Юрійович; Rudenko, Andrii Короткий огляд (реферат): The research highlights the growing need for industrial enterprises to enhance modelling accuracy and energy efficiency through the integration of control and measuring instruments into Computer-Aided Design (CAD) models of industrial power systems. The study explores the feasibility of using CAD systems to integrate these instruments, focusing on their metrological accuracy and impact on the reliability of digital models and energy management. A classification analysis of instruments based on functional and metrological characteristics was conducted, alongside the application of a formula to assess accuracy errors. The instruments were categorized as high-precision (δ≤1%), medium-precision (δ=1-5%), and low-precision (δ>5%). Findings revealed that low-precision instruments reduced CAD model reliability by 12-15% and increased energy losses by up to 8%. In contrast, high-precision instruments minimized deviations to 0.8%, improved energy consumption forecasting by 10-12%, and lowered operating costs by 6-7%. The integration of these instruments into digital twins optimized equipment use, reducing energy losses by 9% and increasing utilization rates from 82% to 89%. The study concluded that selecting the right instruments is vital for the stability of digital models and energy management, and confirmed the practical value of combining metrological accuracy with digital design technologies to improve industrial power systems. Thu, 01 Jan 2026 00:00:00 GMT https://dspace.mnau.edu.ua/jspui/handle/123456789/25323 2026-01-01T00:00:00Z https://dspace.mnau.edu.ua/jspui/handle/123456789/25322 Назва: Intelligent system for automated design of energy-efficient facilities in the agro-industrial complex with built-in diagnostics of electrical machines Автори: Мартиненко, Володимир Олександрович; Martynenko, Volodymyr; Кошкін, Дмитро Леонідович; Koshkin, Dmitriy; Соколік, Віталій Дмитрович; Sokolik, Vitaliy; Суковіцина, Ірина Миколаївна; Sukovitsyna, Iryna Короткий огляд (реферат): The aim of the study was to substantiate the effectiveness of an intelligent system for automated design of energy-efficient facilities in the agro-industrial complex (AIC) with integrated diagnostics of electric drives. The methodology included experimental testing of asynchronous electric motors, numerical modelling, and optimization. Data analysis was performed using Student's t-test, analysis of variance, and principal component analysis. The results showed that in faulty electric motors, the current increased by 20%, the power factor decreased from 0.87 to 0.74, the vibration level exceeded that of serviceable samples by three times, and the temperature of the windings increased from 65 to 92 degrees Celsius. Numerical modelling showed a 9% reduction in energy consumption, a 17-degree Celsius decrease in temperature, a 16% increase in power factor, a 47% reduction in vibrations, and an increase in efficiency from 85 to 92%. Statistical analysis confirmed the reliability of the results, and the “serviceable/damaged” classification model achieved high accuracy with an area under the curve of 0.94. The scientific novelty lies in the first-ever combination of structural optimisation of electric drive parameters with built-in technical condition analysis in a single CAD/FEM environment. Thu, 01 Jan 2026 00:00:00 GMT https://dspace.mnau.edu.ua/jspui/handle/123456789/25322 2026-01-01T00:00:00Z