Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Roman Polyakov"'
Publikováno v:
Lubricants, Vol 11, Iss 1, p 33 (2023)
RUL (remaining useful life) estimation is one of the main functions of the predictive analytics systems for rotary machines. Data-driven models based on large amounts of multisensory measurements data are usually utilized for this purpose. The use of
Externí odkaz:
https://doaj.org/article/f2fae2791920481ca0b183ef99ea5108
Publikováno v:
Intelligent Systems Design and Applications ISBN: 9783031355097
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed99db54dc6195130e017fbbe7e446d3
https://doi.org/10.1007/978-3-031-35510-3_54
https://doi.org/10.1007/978-3-031-35510-3_54
Publikováno v:
Intelligent Systems Design and Applications ISBN: 9783031355097
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8497cda28f3b0faa0db82190ae150255
https://doi.org/10.1007/978-3-031-35510-3_12
https://doi.org/10.1007/978-3-031-35510-3_12
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783031323935
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da06bb5d5a686e7e91dcf35b5073582f
https://doi.org/10.1007/978-3-031-32394-2_2
https://doi.org/10.1007/978-3-031-32394-2_2
Autor:
Alexander Babin, Roman Polyakov
Publikováno v:
Vibroengineering PROCEDIA. 32:38-44
Diagnostics of rotating machines is taking a new step forward with the development of intellectual technologies based on predictive and machine learning tools. Despite having a range of advantages compared to humans in terms of big data processing po
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9a6240d21227d898bdf656efbea092c
https://doi.org/10.21595/vp.2020.21529
https://doi.org/10.21595/vp.2020.21529
Publikováno v:
Vibroengineering PROCEDIA. 31:129-133
Failure diagnostics and general decrease of accident rate at power plants is a major task of energy generation industry, and solution of it provides reliable energy supply country wide and technological progress in mechanical engineering. Along with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f92b070154979adf96d338a2b64fd77
https://doi.org/10.21595/vp.2020.21331
https://doi.org/10.21595/vp.2020.21331
Publikováno v:
Vibroengineering PROCEDIA. 30:61-67
The present paper considers a multi-criteria analysis algorithm of turbo generator fluid-film bearing operability and its connection with rotor machine monitoring system data. It is substantiated that implementation of predictive analysis of load cap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e409c64e752464bb5b582c4c25b901d
https://doi.org/10.21595/vp.2020.21379
https://doi.org/10.21595/vp.2020.21379
Autor:
Shengbo Li, Changjiang Zhou, Leonid Savin, Denis Shutin, Alexey Kornaev, Roman Polyakov, Zhaobo Chen
Publikováno v:
Mechanical Systems and Signal Processing. 182:109548
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9716a8c883e7984a5c95b48ee8049ea6
https://doi.org/10.1016/j.ymssp.2022.109548
https://doi.org/10.1016/j.ymssp.2022.109548
Publikováno v:
Volume 6: Education; Electric Power.
The article describes general approaches to creating an intelligent system for monitoring and diagnosing the operability of energy supply facilities. The general concept of the adaptive-predictive analysis system and the construction of an artificial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::812e93376237eebee41907bb07c9520a
https://doi.org/10.1115/gt2020-14217
https://doi.org/10.1115/gt2020-14217
Publikováno v:
2020 International Russian Automation Conference (RusAutoCon).
The article discusses the prerequisites for the use of artificial neural networks with direct connection for diagnosing the state of rotary machines with liquid friction bearings. During the study, an experimental setup with a multi-sensor measuring
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0dfa4c0306ee315b387958f3b49046
https://doi.org/10.1109/rusautocon49822.2020.9208118
https://doi.org/10.1109/rusautocon49822.2020.9208118