Zobrazeno 1 - 10
of 21
pro vyhledávání: '"A. V. Kornaev"'
Publikováno v:
Doklady Mathematics. 106:S4-S8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::584a933aba7f6b98078d0a76152442f3
https://doi.org/10.1134/s1064562422060114
https://doi.org/10.1134/s1064562422060114
Publikováno v:
Proceedings of the Southwest State University. 26:129-147
Purpose of research. Development of theoretical premises for the new inertial viscometer, as well as the development of an approximate model of the viscosity fluid flow using convolutional neural networks and laser speckle contrast imaging data.Metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eed9096eaf6ca7407e49caa4000b0b50
https://doi.org/10.21869/2223-1560-2022-26-1-129-147
https://doi.org/10.21869/2223-1560-2022-26-1-129-147
Publikováno v:
International Journal of Rotating Machinery, Vol 2017 (2017)
Increase of energy efficiency and level of information system development of rotor machines in general requires improvement of theoretical approaches to research. In the present paper the problem of high-precision and high-performance computing progr
Externí odkaz:
https://doaj.org/article/b6c963adedb4403e9cb88716b2ba1fe7
Publikováno v:
Proceedings of the Southwest State University. 25:93-106
Purpose of research. Development of a technique for estimating the average flow rate of physiological fluids in capillaries from images obtained using laser speckle-contrast imaging. The technique includes obtaining experimental data in the form of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23d8160fd49c15c1b9b7981fe0b6006a
https://doi.org/10.21869/2223-1560-2021-25-2-93-106
https://doi.org/10.21869/2223-1560-2021-25-2-93-106
Publikováno v:
International Journal of Rotating Machinery, Vol 2017 (2017)
Analysis of the reasons of critical flow rate occurrence in hydraulic tracts of cryogenic machines has been carried out. Theoretical expressions have been derived to calculate critical velocities in a boiling multiphase medium. Applied to hybrid flui
Externí odkaz:
https://doaj.org/article/edee035726704f65ac65bd39841711ec
Publikováno v:
Doklady Mathematics. 106:S91-S92
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::969dd7a16f18a8872d846f09f549a9f9
https://doi.org/10.1134/s1064562422060126
https://doi.org/10.1134/s1064562422060126
Publikováno v:
Proceedings of the Southwest State University. 23:129-144
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ada7a65f0c84a35206734efbf5fe9a0
https://doi.org/10.21869/2223-1560-2019-23-4-129-144
https://doi.org/10.21869/2223-1560-2019-23-4-129-144
Autor:
Ivan Stebakov, Elena Kornaeva, Alexander Babin, Alexey Kornaev, Roman Zaretsky, Nickolay V. Kornaev, Leonid Savin
Publikováno v:
Vibroengineering PROCEDIA. 32:223-228
The goal of this work is association of several machine learning methods in a study of rotating machines with fluid-film bearings. A fitting method is applied to fit a non-linear reaction force in a bearing and solve a rotor dynamics problem. The sol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbded37fdb1c9f39623146941c825a83
https://doi.org/10.21595/vp.2020.21549
https://doi.org/10.21595/vp.2020.21549
Publikováno v:
Fundamental and Applied Problems of Engineering and Technology. 5:73-79
Cluster analysis is widely used in the machine diagnostic and monitoring field. This article discusses the issue of recognizing the states of rotary-support systems with fluid-friction bearings. An experiment was carried out to investigate the effect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff8e55ffcc32d7b65e43741cc90e6f1b
https://doi.org/10.33979/2073-7408-2020-343-5-73-79
https://doi.org/10.33979/2073-7408-2020-343-5-73-79
Publikováno v:
Journal of Tribology. 144
Despite the fact that the hydrodynamic lubrication is a self-controlled process, we designed control systems based on proportional integral (PI) controller, adaptive PI controller, and Deep Q network (DQN)-agent to minimize the friction torque in a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba8674d28d5a368cbe1e3c268c046510
https://doi.org/10.1115/1.4053776
https://doi.org/10.1115/1.4053776