http://repository.mu.edu.ua/jspui/handle/123456789/5510 Thu, 18 Jun 2026 00:22:09 GMT 2026-06-18T00:22:09Z http://repository.mu.edu.ua/jspui/handle/123456789/10729 Название: Інтелектуальні методи обробки даних у системах моніторингу інженерної інфраструктури Авторы: Стахова, Анжеліка Петрівна; Василенко, А. Описание: Стахова A. П., Василенко А. Інтелектуальні методи обробки даних у системах моніторингу інженерної інфраструктури // Інтегровані інтелектуальні робототехнічні комплекси (ІІРТК-2026) : збірник тез доп. ХІХ міжнар. наук.-практ. конф., м. Київ, 19–20 травня 2026 р. Київ, 2026. С. 433–434. Thu, 01 Jan 2026 00:00:00 GMT http://repository.mu.edu.ua/jspui/handle/123456789/10729 2026-01-01T00:00:00Z http://repository.mu.edu.ua/jspui/handle/123456789/10560 Название: Метод Монте-Карло для аналізу похибок спектральних вимірювань у цифрових інформаційних системах Авторы: Стахова, Анжеліка Петрівна Описание: Стахова А. П. Метод Монте-Карло для аналізу похибок спектральних вимірювань у цифрових інформаційних системах // Актуальні проблеми науки та освіти : зб. матеріалів XXVІІІ підсумкової наук.-практ. конф. викладачів МДУ, м. Маріуполь, 24 лют. 2026 р. / за заг. ред. Т. В. Марени ; Маріуп. держ. ун-т. Київ : МДУ, 2026. С. 93–95. Thu, 01 Jan 2026 00:00:00 GMT http://repository.mu.edu.ua/jspui/handle/123456789/10560 2026-01-01T00:00:00Z http://repository.mu.edu.ua/jspui/handle/123456789/9304 Название: Patterns of acoustic emission changes with alterations in the damage area of a composite material according to the Mises criterion Авторы: Filonenko, S.; Stakhova, Anzhelika Краткий осмотр (реферат): This paper considers the use of a highly sensitive acous‐tic emission method for studying the deformation and failure processes of composite materials. This providesa substantial amount of information about phenomena occurring at the sub‐micro, micro, and macro levels. How ever, the additional influence of various factors leads to the problem of interpreting and identifying the infor‐mation yielded by this process. Addressing this problem involves determining the influence of different factors on acoustic emission‐signal parameters and their sensitivity to the influencing factors. In this study, during the failure of composite material under transverse force according to the Mises criterion, an analysis is conducted on the impact of changes in the number of composite material elements (damage area) on the amplitude‐time param‐eters of the acoustic emission signal based on a devel‐oped signal model. The results of the simulation allow for the identification and description of patterns in the changes of amplitude‐time parameters of acoustic emis‐sion signals (maximum amplitude, area under the signal curve, and signal duration), with variations in the number of composite material elements. These patterns enable the determination of the sensitivity of acoustic emission signal parameters to the influencing factor. The findings of this study may be of interest in the development of methods for monitoring, diagnosing, and predicting the failure of composite materials and products through the registration and analysis of acoustic emission signals. Описание: Filonenko S. Patterns of acoustic emission changes with alterations in the damage area of a composite material according to the Mises criterion / S. Filonenko, A. Stakhova // Journal of Automation, Mobile Robotics and Intelligent Systems. – 2025. – Vol. 19, № 2. – Pp. 50–58. Wed, 01 Jan 2025 00:00:00 GMT http://repository.mu.edu.ua/jspui/handle/123456789/9304 2025-01-01T00:00:00Z http://repository.mu.edu.ua/jspui/handle/123456789/9303 Название: Methods for Processing Signal Conversion in Velocity and Acceleration Measurement Considering Transducer Characteristics Авторы: Filonenko, S.; Stakhova, Anzhelika Краткий осмотр (реферат): This study presents an innovative approach to processing vibration signals in bridge structures, with a focus on enhancing the accuracy of dynamic response measurements and structural health assessments. It addresses key challenges in signal processing, particularly the uncertainties in selecting filtering parameters for isolating dynamic components from static displacements. A novel method for adaptive filter parameter selection is proposed, which considers variations in resonant frequencies and the non-linearity of quasi-static displacements caused by moving loads. This approach significantly reduces errors in determining forced and natural vibration parameters, leading to more accurate assessments of the bridge’s mechanical characteristics. The study introduces an optimized algorithm for processing acceleration and velocity signals, improving the resolution of natural frequency identification. This method combines traditional Fast Fourier Transform (FFT) techniques with an innovative spectral analysis approach, enabling precise identification of resonant frequencies and damping coefficients. A comprehensive evaluation framework is developed, integrating vibration amplitude, frequency, and damping ratio analyses. This framework enhances structural health assessments, improving the detection and characterization of potential defects and changes in load-bearing capacity. The practical significance of this research lies in its real-world application to bridge diagnostics. The study provides guidelines for sensor selection and configuration, adapted for various bridge types and sizes. The proposed methods demonstrate notable improvements in dynamic coefficient determination and overall structural assessments, offering the potential to reduce maintenance costs and enhance bridge safety. Описание: Filonenko S. Methods for Processing Signal Conversion in Velocity and Acceleration Measurement Considering Transducer Characteristics / S. Filonenko, A. Stakhova // Engineering Proceedings. – 2025. – Vol. 87 : Proceedings of the 5th International Electronic Conference on Applied Sciences, 4–6 December 2024. – Papers 61, pp. 1–8. Wed, 01 Jan 2025 00:00:00 GMT http://repository.mu.edu.ua/jspui/handle/123456789/9303 2025-01-01T00:00:00Z