Oleg Ilyunin
Verified @nure.ua
Kharkiv National University of Radioelectronics / Department of Computer Intelligent Technologies and Systems
EDUCATION
Candidate of Technical Sciences, Senior Lecturer of the Department of Computer Intelligent Technologies and Systems, Kharkiv National University of Radioelectronics, Kharkiv, Ukraine
RESEARCH, TEACHING, or OTHER INTERESTS
Computer Science, Artificial Intelligence, Computer Science Applications, Computer Vision and Pattern Recognition
FUTURE PROJECTS
Study of Recurrent Neural Models predicting Deposits in Plate Heat Exchangers
The efficiency of plate heat exchangers (PHEs) included in process production lines depends on the cleanliness of the plate surface and directly affects the quality of the final product, fuel consumption of heat generating plants and carbon emissions. Scheduling routine maintenance for PHE cleaning increases the efficiency of heat exchange systems operation. Until recently, complex mathematical modeling was used to predict the value of the heat transfer coefficient after a certain period of operation of the heat exchanger and the point in time when the coefficient reaches the allowable limit, using systems of differential equations and matrices of heuristic coefficients, which required serious computing resources. This paper presents a study of the performance of neural network models for solving this problem: a standard recurrent neural network (RNN) with fading gradient and RNN with two hidden layers LSTM (long short-term memory) which can learn long-term dependencies, process sequen
Applications Invited
10
Scopus Publications
59
Scholar Citations
4
Scholar h-index
3
Scholar i10-index
Scopus Publications
- The neural network approach for estimation of heat transfer coefficient in heat exchangers considering the fouling formation dynamic
Oleg Ilyunin, Oleksandr Bezsonov, Sergiy Rudenko, Nataliia Serdiuk, Serhii Udovenko, Petro Kapustenko, Sergiy Plankovskyy, and Olga Arsenyeva
Elsevier BV - Application of neural networks for optimization of metal cutting parameters in AWJ
- Intelligent Control of the Surface Defects Removal in Rolled Products using Water Jet Technology
- Neural Network Controller of Flow through a Butterfly Valve
Oleg Ilyunin, Oleg Rudenko, Oleksandr Bezsonov, Stanislav Boldyryev, Viktor Zorenko, and Nataliia Serdiuk
IEEE
The article is devoted to the issue of constructing a fuzzy classifier, with the help of which the approximation of real data sets is carried out for the construction of a neuroregulator for the controlled temperature of working solutions of the technological process of pickling rolled metal. The relevance of the topic is to improve the energy efficiency of technological pickling for the metallurgical industry. The development of a technique for constructing a neuroregulator for the temperature of a pickling solution with a given control accuracy is the main task of the work. The results of modeling the characteristics and approbation of the neuroregulator showed a reduction in the consumption of thermal energy by the technological process by 8%. With appropriate adaptation of the model, it is possible to use the neuroregulator in the field of public utilities, at chemical enterprises. - Intelligent Identification System of the Process Liquid Solutions Composition
- Resource and energy saving neural network-based control approach for continuous carbon steel pickling process
Oleksandr Bezsonov, Oleg Ilyunin, Botagoz Kaldybaeva, Oleksandr Selyakov, Oleksandr Perevertaylenko, Alisher Khusanov, Oleg Rudenko, Serhiy Udovenko, Anatolij Shamraev, and Viktor Zorenko
SDEWES Centre
Steel pickling processes are very important for steelmaking production quality. Pickling process is based on chemical reaction of acidic pickling solution with scale impurities on steel strip surface. In sulfuric acid pickling process together with scale removal. The partial dissolving of steel surface takes place because of sulfuric acid attack takes place. * Corresponding author Bezsonov, O., et al. Resource and Energy Saving Neural Network-Based ... Year 2019 Volume 7, Issue 2, pp 275-292 Journal of Sustainable Development of Energy, Water and Environment Systems 276 Continuous sulfuric acid carbon steel pickling in existing plants is very energy and water consumptive. An innovative approach is proposed for modernization of continuous sulfuric acid pickling process performance. The proposed neural network model may be used to optimize consumption of sulfuric acid, decrease energy consumption, reduce steel losses and, respectively, reduce harmful wastes and emissions from continuous steel pickling lines. This is possible because of quick adaptation of neural network model to changing environment through fast training algorithms. The developed model identifies the temperature necessary to provide the set process rate at the current variable values of the parameters: concentration of sulfuric acid and concentration of ferrous sulfate multi-hydrates in solution and transmits the temperature value as a current task to regulator in each discrete moment of the process. The results of application of the developed neural network, included as a part of the presented process supervisor, prove its efficiency in use for pickling process operational control: steam consumption for pickling process was decreased by 8%, acid consumption for pickling process was decreased by 26%, while the process efficiency and quality remain unaffected. - Green microcontrollers in control systems for magnetic elements of linear electron accelerators
Anatoliy Shamraev, Elena Shamraeva, Anatoly Dovbnya, Andriy Kovalenko, and Oleg Ilyunin
Springer International Publishing - Modified criterion for economic efficiency estimation of heat pumps
Stanislav Boldyryev, A. O. Garev, O. Ilunin, A. Shamraev, O. Selyakov, O. Leshchenko and P. Kapustenko
In this work the cost-effectiveness of coal mine waste water low potential heat utilization and integration in the enterprise local heating network by the bivalent parallel scheme is investigated. It is shown that the additive criterion of economic efficiency is not always sensitive to the target value because of the reason of non-linear coupling between the arguments of the target function. Several cases were considered from the viewpoint of cost-effectiveness criterion. Moreover, the arguments of the target function are also nonlinear, depending on technological parameters of the heat pump (HP) equipment. As a more effective criteria were proposed the modified canonical additive-multiplicative function and Kolmogorov-Gabor polynomial function to obtain the generalized multivariate estimation of alternatives in two stages procedure.
RECENT SCHOLAR PUBLICATIONS
- Study of Neural Models Predicting Deposits in Plate Heat Exchangers
OS O. Ilyunin, O. Bezsonov, S. Rudenko, N. Serdiuk, S. Udovenko, O ...
Mikulov, Czech Republic, 7th Sustainable Process Integration Laboratory 2023 - Intelligent Control of Removal of Surface Defects of Rolled Products using Water Jet Technology
OINS Oleg Rudenko, Oleksandr Bezsonov
Information Processing in Control and Decision-Making Systems. Problems and 2023 - Using a Neural Network Approach to Predict Deposits on the Surfaces of Heat Exchange Equipment
OAOS Oleg Rudenko, Oleksandr Bezsonov, Oleg Ilyunin, Olexiy Demirskiy ...
CHEMICAL ENGINEERING TRANSACTIONS 103, 697-702 2023 - Іntelligent models for control of jet hydro-processing of rolled steel defects
Ilyunin, Khodak, Pyrohov, Pasholoc, Tryhuba, Serdiuk
Інтегровані технології та енергозбереження. Фахове видання. ISSN 2078-5364 2023 - Neural Network Controller of Flow through a Butterfly Valve
Ilyunin, Bezsonov, Rudenko, Boldyryev, Zorenko, Serdiuk
IEEE 3rd KhPI Week on Advanced Technology Conference (KhPIWeek2022) 1, 5 2022 - Intelligent Identification System of the Process Liquid Solutions Composition
Ilyunin, Khusanov, Rudenko, Sotnikov, Bezsonov
COLINS-2022: 6th International Conference on Computational Linguistics and 2022 - FUZZY ESTIMATION PROCEDURE OF THE CONCENTRATION OF THE COMPONENTS OF A SULFURIC ACID PICKLING SOLUTION
О Ілюнін, М Ходак, О Юрченко, О Сапега
Інтегровані технології та енергозбереження, 63-75 2022 - Синтез автоматизованої системи інтелектуального керування процесом безперервного травління смугової сталі
ОО Ілюнін
ХНУРЕ 2021 - Resource and Energy Saving Neural Network-Based Control Approach for Continuous Carbon Steel Pickling Process
Bezsonov, Ilyunin, Kaldybaeva, Selyakov, Perevertaylenko, Khusanov, Rudenko ...
Journal of Sustainable Development of Energy, Water and Environment Systems 2019 - Green Microcontrollers in Control Systems for Magnetic Elements of Linear Electron Accelerators
Shamraeva, Dovbnya, Kovalenko, Ilyunin
1. Green IT Engineering: Concepts, Models, Complex Systems Architectures 2017 - Нейро-нечеткое управление непрерывным травлением полосовой стали
Гахов, Илюнин, Шамраев
Сетевой журнал Научный результат. Серия Информационные технологии 1 (2 2016 - Пристрій для безперервного травлення прокату смуги вуглецевої сталі
ОП Арсеньєва, ОО Ілюнін, ОЮ Перевертайленко
ХНУРЕ 2014 - Modified criterion for economic efficiency estimation of heat pumps
Boldyryev, Garev, Іlyunin, Shamraev, Selyakov, Leshchenko, Kapustenko
CHEMICAL ENGINEERING TRANSACTIONS 35, 475-481 2013 - До питання автоматизації процесу безперервного травлення листової вуглецевої сталі за умов невизначеності
ПО Капустенко, ОО Ілюнін, ОЮ Перевертайленко, С Лага
Міжвузівський збірник Компютерно-інтегровані технології: освіта, наука 2011 - Control of Plate Heat Exchanger Outlet Temperature Using Butterfly Valve and Parametric Model Predictive Control Technique
Kapustenko, Dobromyslova , Dobromyslov , Perevertaylenko , Arsenyeva ...
CHEMICAL ENGINEERING TRANSACTIONS 18, 827-833 2009
MOST CITED SCHOLAR PUBLICATIONS
- Resource and Energy Saving Neural Network-Based Control Approach for Continuous Carbon Steel Pickling Process
Bezsonov, Ilyunin, Kaldybaeva, Selyakov, Perevertaylenko, Khusanov, Rudenko ...
Journal of Sustainable Development of Energy, Water and Environment Systems 2019
Citations: 20 - Green Microcontrollers in Control Systems for Magnetic Elements of Linear Electron Accelerators
Shamraeva, Dovbnya, Kovalenko, Ilyunin
1. Green IT Engineering: Concepts, Models, Complex Systems Architectures 2017
Citations: 17 - Control of Plate Heat Exchanger Outlet Temperature Using Butterfly Valve and Parametric Model Predictive Control Technique
Kapustenko, Dobromyslova , Dobromyslov , Perevertaylenko , Arsenyeva ...
CHEMICAL ENGINEERING TRANSACTIONS 18, 827-833 2009
Citations: 11 - Іntelligent models for control of jet hydro-processing of rolled steel defects
Ilyunin, Khodak, Pyrohov, Pasholoc, Tryhuba, Serdiuk
Інтегровані технології та енергозбереження. Фахове видання. ISSN 2078-5364 2023
Citations: 4 - Modified criterion for economic efficiency estimation of heat pumps
Boldyryev, Garev, Іlyunin, Shamraev, Selyakov, Leshchenko, Kapustenko
CHEMICAL ENGINEERING TRANSACTIONS 35, 475-481 2013
Citations: 4 - До питання автоматизації процесу безперервного травлення листової вуглецевої сталі за умов невизначеності
ПО Капустенко, ОО Ілюнін, ОЮ Перевертайленко, С Лага
Міжвузівський збірник Компютерно-інтегровані технології: освіта, наука 2011
Citations: 2 - Using a Neural Network Approach to Predict Deposits on the Surfaces of Heat Exchange Equipment
OAOS Oleg Rudenko, Oleksandr Bezsonov, Oleg Ilyunin, Olexiy Demirskiy ...
CHEMICAL ENGINEERING TRANSACTIONS 103, 697-702 2023
Citations: 1
RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)
Device for continuous pickling of rolled carbon steel
Ukrainian Patents Database |
2014-02-25 | Patent
PAT: 104710 Ukraine
URL