Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Vladimir N. Klyachkin"'
Autor:
Vladislav N. Kovalnogov, Ruslan V. Fedorov, Andrei V. Chukalin, Vladimir N. Klyachkin, Vladimir P. Tabakov, Denis A. Demidov
Publikováno v:
Energies, Vol 17, Iss 16, p 3961 (2024)
Modeling the atmospheric boundary layer (ABL) in the area of a wind farm using computational fluid dynamics (CFD) methods allows us to study the characteristics of air movement, the shading effect, the influence of relief, etc., and can be actively u
Externí odkaz:
https://doaj.org/article/acb0a606eb8c49df8c55894ac9bb6459
Publikováno v:
Автоматизация процессов управления. 3:41-47
When monitoring a real production process using statistical methods, the question of early detection of violations arises. In most cases, several indicators are monitored simultaneously in the production process, and a change in the values of some in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e396a240393253768dc25789152022dd
https://doi.org/10.35752/1991-2927-2021-3-65-41-47
https://doi.org/10.35752/1991-2927-2021-3-65-41-47
Publikováno v:
Intelligent Decision Technologies ISBN: 9789811934438
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b1c39c00b370e97ab266d5be66cf69d
https://doi.org/10.1007/978-981-19-3444-5_14
https://doi.org/10.1007/978-981-19-3444-5_14
Publikováno v:
Proceedings of the V International conference Information Technology and Nanotechnology 2019.
The basic data in the problem of the prediction of technical object’s state of health based on the known indicators of its operation are the known results of the object state estimation by information about previous service. The problem may be solv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4535785694652b11649072b7cc76ea4
https://doi.org/10.18287/1613-0073-2019-2416-361-367
https://doi.org/10.18287/1613-0073-2019-2416-361-367
Publikováno v:
Proceedings of the Russian higher school Academy of sciences. :65-72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d6f4cbae7ac6cc4f96c2a743be8bda
https://doi.org/10.17212/1727-2769-2016-3-65-72
https://doi.org/10.17212/1727-2769-2016-3-65-72
Publikováno v:
2018 3rd Russian-Pacific Conference on Computer Technology and Applications (RPC).
Under consideration are the forecasting models based on time series systems and multivariate classifiers, which focus on forecasting of technical objects state. In many cases, these models get out of date as new data become available. Therefore, thes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1666aa636402d7b3171d217a568d4d51
https://doi.org/10.1109/rpc.2018.8482222
https://doi.org/10.1109/rpc.2018.8482222
Publikováno v:
Collection of selected papers of the III International Conference on Information Technology and Nanotechnology.
The assessment of any technical object functioning stability is often limited by the monitoring of midrange constancy and monitored parameters dispersion. For that, the methods of multivariate statistical monitoring, used for the assessment of proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fcbdad34a2ea3d385dab43f035883922
https://doi.org/10.18287/1613-0073-2017-1903-28-31
https://doi.org/10.18287/1613-0073-2017-1903-28-31
Publikováno v:
Collection of selected papers of the III International Conference on Information Technology and Nanotechnology.
While solving the problems of technical diagnostics with machinery learning involvement, there is binary classification of an object state performed: the objects are subdivided into “good” and “bad” with the help of models, received as per le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd60bf707c16167159e44ebd6c001720
https://doi.org/10.18287/1613-0073-2017-1903-32-35
https://doi.org/10.18287/1613-0073-2017-1903-32-35
Autor:
Kovalnogov, Vladislav N.1 (AUTHOR) kvn@ulstu.ru, Fedorov, Ruslan V.1 (AUTHOR), Chukalin, Andrei V.1 (AUTHOR) kvn@ulstu.ru, Klyachkin, Vladimir N.1 (AUTHOR), Tabakov, Vladimir P.1 (AUTHOR), Demidov, Denis A.1 (AUTHOR)
Publikováno v:
Energies (19961073). Aug2024, Vol. 17 Issue 16, p3961. 27p.
Decision Support Systems (DSSs) are Software and Information Systems which make use of various data and business models, employ advanced data analytics procedures, and access extensive databases and data warehouses to facilitate with a decision proce