Oleksii Mykhailenko
@knu.edu.ua
Department of Electrical Engineering
Kryvyi Rih National University
RESEARCH, TEACHING, or OTHER INTERESTS
Energy Engineering and Power Technology, Electrical and Electronic Engineering, Control and Systems Engineering, Modeling and Simulation
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Victor Busher, Anatoliy Shestaka, Lubov Melnikova, Vitaliy Kuznetsov, Oleksii Mykhailenko, Viktor Kovalenko, Viktor Kutyk, Dmytro Osadchyi, Iryna Osypenko, and Samer Abdel Gawad
Elsevier BV
O. Yu Mykhailenko, D. V Tsyplenkov, O. V Ilchenko, H. V Kolomits, and V. S Lazariev
Dnipro University of Technology
Purpose. The purpose of the article is to develop a methodology for creating cone crusher adaptive control system based on the model-based design method for automated software generation of microprocessor controllers. Methodology. A method based on a block-oriented predictive model was used to generate control signals for the cone crusher. The parameters and structure of this model were identified in real time using measured data from the plant. A prototype of the control system was created in MATLAB/Simulink. Then, the model-based design method was used to generate software for digital signal processors. Mathematical statistics methods were employed to analyze the experimental results. Findings. A method of model-based design of an adaptive control system for a cone crusher has been developed. This system uses a predictive model of a block-oriented structure. This model adjusts the predictive controller’s structure and parameters directly during operation. This approach makes it possible to divide the functions of identifying the process model and generating controls between the two digital controllers. Consequently, the average computational time is reduced while ensuring the stabilization of the degree of homogeneity of ore crushing and separate output of the control size class, with respective standard deviation coefficients not exceeding 3.42 and 1.83 %, respectively. Originality. The regularity of the effect of the closed-side setting and the eccentric speed on the particle size distribution of crushed ore has been established. This shows that high homogeneity of the crushed product is ensured by simultaneously adjusting these input coordinates. We propose a new method for synthesizing an adaptive cone crusher control system based on a model-based design approach. This method provides automated real-time generation of software for microprocessor-based controllers, allowing the system to quickly adjust to changes in rock mass characteristics and other disturbances. Practical value. A hardware and software implementation of an adaptive control system for a cone crusher is proposed. This system is based on a block-oriented predictive model. The model ensures the stabilization of the required ore particle size distribution. This stabilization is achieved by adjusting the closed-side setting and the eccentric speed. The system is based on 16-bit, low-cost digital signal processors. A prototype of the system was tested in a crushing plant at a metallurgical enterprise.
Tetiana BERIDZE, Oleksii MYKHAILENKO, Ihor SINCHUK, Maryna KOTIAKOVA, Mykhailo ROGOZA, and Maciej JAMIŃSKI
Polish Mineral Engineering Society
This research presents the development of a multifactorial static multiplicative model for analysing power quality in underground mining power systems. The objective is to synthesize a generalized indicator of power quality by integrating key parameters such as voltage dips and sags, frequency deviations, harmonic distortion, and other critical indicators that influence the energy efficiency and reliability of the electrical network. The proposed model structure was developed using the synthesis method, with its parameters identified through a maladaptive approach based on the least squares method. To validate the model's accuracy, mathematical statistics techniques were employed. As a result, mathematical relationships were derived to evaluate a generalized power quality index using data on voltage drop, frequency deviation, and harmonic distortion. The model, characterized as static and multiplicative, requires full-spectrum quality data for parameter identification via a non-adaptive approach. Comparative accuracy analysis between a single-factor model and the proposed three-factor model revealed a correlation coefficient of 0.951 for the former and 0.923 for the latter. While the multifactor model demonstrates a 2.94% reduction in statistical accuracy, both models qualify as having "very high" reliability according to the Chaddock scale. This confirms the practical applicability of the multifactor approach in real-world mining energy systems. The scientific novelty lies in the improved multifactor model structure that synthesizes multiple quality indicators into a unified framework. Its practical value is evident in applications for managing power flow within industrial microgrids in underground mines, particularly those integrating local power generation sources.
Oleh Sinchuk, Oleksii Mykhailenko, Ihor Sinchuk, Maryna Kotiakova, Vladyslav Baranovskyi, and Mila Baranovska
Dnipro University of Technology
Purpose. This research aims to synthesize an automated system for stabilising the supply voltage of individual electrical consumers at iron ore mines when it deviates from standardised values due to unpredictable disturbances in the mine power systems. Methods. A dynamic voltage restorer was used to stabilize the supply voltage of mine electrical consumers. The basic control system for the dynamic voltage restorer was developed using control theory methods, such as linear-quadratic control. Heuristic optimization methods were used to adapt the linear-quadratic regulator to unpredictable disturbances. The control integral absolute error was taken as the criterion. Numerical analysis was used to check the quality of transients during voltage stabilization using the proposed system. Findings. The adaptive control system for a dynamic voltage restorer has been developed to stabilize the supply voltage of individual electrical consumers at iron ore mines. The optimal genetic algorithm parameters have been determined, including the population size and mutation rates of the linear-quadratic regulator weight matrices. It minimizes the integral absolute error and, as a result, eliminates overshoot (overshoot is no more than 0.058%) and reduces the transient time (up to 95%) compared to the unoptimized system. Originality. The method of adaptive automated linear-quadratic regulator tuning based on a genetic algorithm is proposed. For the first time, it is used to control a dynamic voltage restorer installed between the power grid and the mine electrical consumer. This method has enabled the compensation of fluctuations in the mine power grid voltage at the consumer end, without overshoot and with short settling times. Practical implications. The results can be used for the development of digital controllers embedded firmware for dynamic voltage restorers, providing real-time voltage fluctuation compensation and improving the power supply quality to mine electrical consumers.
Oleksii Mykhailenko, Nadezhda Karabut, Volodymyr Doskoch, Olena Burtseva, Vitaliy Kuznetsov, Sergij Tsvirkun, and Hanna Kolomits
Association for Information Communication Technology Education and Science (UIKTEN)
When designing wind farms, the first stage is always an assessment of the target area wind energy potential. It is necessary to have a mathematical description of the wind speeds occurrence probability at the wind turbines potential location to do this. An analysis of relevant studies shows that the most effective approach to obtaining such dependencies is when the wind speed is taken as a random variable. In this case, wind speed distribution in the target area can be modeled using continuous probability distributions. This article is devoted to determining the typical probability distribution models for representing wind conditions in certain areas of the Dnipropetrovsk oblast (Ukraine), which can be used to estimate expected level of power generation by wind power plants. To obtain the data, a series of wind speed measurements were taken at three locations throughout the year. After that, frequency wind speed distributions with ranges of 0.2, 0.5, and 0.8 m/s were created from the obtained dataset and then approximated by continuous probability distributions. Frequency distributions were modeled by Weibull, Rayleigh, Nakagami, gamma, normal, log-normal, generalized extreme value, Birnbaum-Saunders, Wald and Rice continuous distributions. To determine the parameters of each type probability distribution, which is the most relevant to the frequency distribution, the maximum likelihood estimation method was used. To assess the accuracy of the models, the Pearson test, coefficient of determination and normalized root mean square deviation are used. The probability distributions quality is also evaluated graphically using Q-Q plots. The best fit to wind speed frequency distributions demonstrated by the Weibull probability distributions. A slightly lower accuracy was provided by the normal, Rice and Nakagami distributions than Weibull distribution. But in some cases, these distributions have even smaller error than the last one. Therefore, after detailed analysis and validation, they can also be used. The Rayleigh distribution had the worst accuracy, the Pearson test for it rejected the null hypothesis that the probability distributions correspond to the frequency distributions at all three locations. Additionally, the effect of the frequency distribution wind speed grouping range on the quality of maximum likelihood estimation of continuous distribution parameters was analyzed. It showed that the approximation accuracy decreases with increasing range.
O Mykhailenko
IOP Publishing
Abstract The design of complex technological processes control systems involves several stages. One of the first is to analyze the steady-state operation modes of the control plant. Ore crushing is one of the most critical processes in mineral processing. The quality of its control determines the level of power consumption not only at this stage of mineral processing, but also at the subsequent ones, especially the grinding processes, which are the most energy-intensive in the entire production. The size and homogeneity of crushed ore significantly affect the power consumption of the mills. Ore is crushed by cone crushers. The crushing process is characterized by a large number of parameters. Depending on the control purpose, any of them can be considered as an input, output or disturbance. As a result, a cone crusher as a control plant is a multi-input multi-output system. The relationships between inputs and outputs are very complex, so it is very important to have an adequate mathematical description of cone crusher steady-state for its quality control. In this article, it has identified second-order polynomials regression models for the dependencies between the most significant parameters for a typical cone crusher with a mantle width 2200 mm. Namely, the dependence of the crusher electric drive power on the closed-side setting and feed capacity; the percentage of the control particle size class in the product on the closed-side setting and product capacity; product capacity on the closed-side setting, lining wear on the product capacity. The least squares method was used to estimate the parameters of the regression models.
O. M Sinchuk, M. V Rogoza, O. Yu Mykhailenko, D. V Kobeliatskyi, and V. O Fedotov
Dnipro University of Technology
Purpose. To develop a method for synthesizing the structure and algorithm of the system for automated control of power consumption by up to 1000 V electrical receivers at mining enterprises with iron ore underground mining methods. This enables direct control of the load connection to the industrial power grid to ensure minimum power costs depending on its cost per day ahead. Methodology. The problem of controlling power consumption of electrical receivers at iron ore underground mines is formalized as a binary form of mixed integer programming. To solve it, a binary implementation of the heuristic genetic algorithm is used. The mathematical modeling method analyzes the impact of genetic algorithm settings, such as the number of phenotypes in the population, the number of elite phenotypes that pass unchanged to the next generation, and the method of phenotype crossover on its quality. Findings. As a result of the research, it is found that the most effective way to control the process of power consumption based on an evolutionary genetic algorithm is to use the Laplace crossover function and keep the percentage of elite phenotypes in the population at 10 %. Moreover, at the smallest population size, the best accuracy is observed when using the Laplace function, while at one- and two-point crossover functions, it worsens, but not significantly (no more than 0.2 %). However, as the number of elite phenotypes increases, the duration of the evolutionary search in the control process is reduced by almost a factor of two in the case of one- and two-point crossovers. Originality. For the first time, the structure of a heuristic system for automated control of power consumption by underground electrical receivers with a supply voltage of up to 1000 V at iron ore underground mines has been developed on the basis of an evolutionary genetic algorithm. Depending on the designed volumes of ore production and the daily power cost per day, this allows determining the optimal power load schedule of underground distribution substations in advance, which, subject to the accepted limits on hourly and daily power, minimizes the cost of purchasing power, and thus reduces the cost of the final product. Practical value. The architecture of a heuristic system for controlling power consumption by electrical receivers with a voltage of up to 1000 V based on an evolutionary genetic algorithm is developed and recommended when optimizing the power load schedule of transformer substations of mining and metallurgical enterprises, in particular, of iron ore underground mines operating in this voltage class.
O. M Sinchuk, T. M Beridze, O. Yu Mykhailenko, V. V Horshkov, M. V Rogoza, and R Strzelecki
Dnipro University of Technology
Purpose. To derive mathematical expressions that, using the available information, will allow forecasting the levels of electricity consumption by the city’s outdoor lighting network in the main possible scenarios for several years ahead, as well as when developing an energy-efficient smart control system for the electrotechnical complex of lighting complex. Methodology. Creating an effective intelligent outdoor lighting control system involves the use of the following methods. First, using the empirical measurement method, information on illumination, electricity consumption, car and pedestrian traffic is obtained. Statistical methods are used to identify patterns and relationships between the measured values, as well as to make subsequent forecasts. For intelligent control of outdoor lighting, a decision-making method based on fuzzy inference is used, which allows one, based on information about the operating conditions of the outdoor lighting network, to determine the recommended value of the current or value of lighting devices and the required power source. This approach will ensure maximum system efficiency. Findings. The obtained analytical dependencies for forecasting the electricity consumption, which are based on data from different time intervals, have determination coefficients of 66.8 and 88.1 %, respectively. The simulation of the operation of a fuzzy control system for the electricity consumption of outdoor lighting on the example of an operated part of the road operated and illuminated by ten 100 W LED lamps for summer and winter nights with different discrete control steps confirms the possibility of achieving the efficiency of outdoor lighting when using the proposed controllability option. The combined-powered control system is more efficient, reducing electricity consumption in summer and winter by more than 70 % compared to traditional control schemes. Originality. A fuzzy control system for the electrical complex of outdoor lighting in cities is improved, which takes into account the electricity tariff in addition to the level of illumination and the car or pedestrian traffic when generating the control action for the LED driver and determining the rational power source (grid or grid/battery) for lighting devices. Practical value. The architecture of the system for controlling electricity consumption by electrical receivers of lighting networks based on the fuzzy inference algorithm is developed, which is recommended for use to ensure an increase in the energy efficiency of this class of municipal consumers.
Vu Trung Tien and O Mykhailenko
IOP Publishing
Abstract Currently, in the Quang Ninh coalfield, exploiting the seams with medium thickness and dip angle of over 50 degrees is often difficult, so labor productivity and safety are low. It is necessary to research and apply advanced mining technology to medium thickness seams with dip angle of over 50 degrees in order to improve efficiency and safety. Studying the actual production in the Mao Khe coal mine shows that the mining technology for the condition of the seam with medium thickness, and dip angle over 50 degrees is mainly mining technology by drilling and blasting. This technology has the disadvantage of low labor productivity and unsafety. In this paper, the authors have researched and proposed mining technology by the combination of ANSH equipment to exploit the longwall in Seam 6 of Mao Khe coal mine. This is a fully mechanized mining technology, coal cutting by plow, combined with shield. Analysis of economic and technical indicators shows that this technology has been more effective and productive than the mining technology currently applied in other coal mines. This application will benefit not only Mao Khe coal mine, but also to other coal mines of Quang Ninh coalfield with similar coal seam conditions.
O Mykhailenko, V Baranovskyi, V Shchokin, N Karabut, and H Kolomits
IOP Publishing
Abstract The article considers synthesis of an expert system for controlling electric power consumption by pumps of main water drainage facilities of an underground mine on the basis of the Mamdani fuzzy inference algorithm. The proposed system has a MISO-structure (multiple-input, single-output) with two input variables, such as water inflow and power cost as well as one output coordinate – power of pumping units. Two bases of fuzzy rules such as conjunction (AND) and disjunction (OR) are formed. By simulation modelling, a comparative analysis of fuzzy control systems for power consumption by water drainage facilities is carried out, as well as a system without control, when the pump performance is stabilized, during week and month periods. It is established that OR-rule based systems can reduce power costs by 1.89% during a week and by 2.28% during a month, and AND-rule based systems by 4.13%, as well as by 5.43% during week and month, respectively. At the same time, we note that the economic effect is achieved not through a decrease in power consumption, but by adjusting the operation mode of the water drainage facility, which involves ensuring maximum efficiency of groundwater drainage when the power cost is high, and minimum efficiency when it is low.
O Mykhailenko and K Budnikov
IOP Publishing
Abstract The paper examines the pumped hydroelectric energy storage potential of mine dewatering system for power generation in a distributed power system. Based on the water inflows that can be used to fill the drainage basins, the following options for pumped-storage hydroelectric power plants (PSHPP) are considered: when groundwater is discharged from only one mine, one hydraulic turbine is installed on the horizon below the surface; with additional discharge of groundwater from neighboring mines – installation of two or four hydraulic turbines at the drainage stages closest to the surface. Comparison was made with grid only system. It is based on net present value (NPV) and levelized cost of energy (LCOE) criteria. Variable parameters were hydraulic turbine water flow and mine power consumption. Also, for a certain combination of parameters, the optimal mine power system was determined. The area of use of the PSHS is estimated. It was found that the smallest economic effect is achieved when the power generation of one hydraulic turbine is close to the power consumption. The area of expedient use of the PSHPP within the limits of parameter variation is 17.2%, 19.6% (base and peak costs of power). This is because power generation drops when the water flow decreases. It does not cover the needs of the mine and there is a power shortage. Thus, the mine power system autonomy is very low. With an increase in water inflow and the number of hydraulic turbines, first up to two and then up to four units, the area of expedient use of PSHPP increases to 51.5%, 55.9% and 50.6%, 72.8%, respectively. However, with low energy consumption and a low water flow, it is still rational to receive electricity from the grid. This is due to a sharp drop in the efficiency of hydraulic turbines and high costs for maintenance and repair of PSHPP equipment, which are not comparable to the cost of purchasing power. So it was noted that with the base cost of electricity and an increase in the number of hydro turbines from two to four, the area of conditions under which the use of PSHPP is justified even decreased by 0.9%. At peak cost, the area increases by 16.9%. The mine power system autonomy is not achieved. In general, the efficiency of using PSHPP for mine dewatering systems is high, but the feasibility of their use should be studied for specific conditions of use.
Ihor Sinchuk, Oleksii Mykhailenko, Andrey Kupin, Oleksandr Ilchenko, Kyrylo Budnikov, and Vladyslav Baranovskyi
IEEE
Oleksii Mykhailenko
EDP Sciences
The article deals with the research of the efficiency of modelling the dynamics of voltage change in lithium-ion rechargeable batteries in charging/discharging modes using nonlinear block-oriented systems. Drawing on experimental data, a structural and parametric identification of the Hammerstein, Wiener and Hammerstein-Wiener models with a polynomial structure of the linear dynamic block and piecewise linear static nonlinearities was performed. It has been established that the best modelling accuracy was ensured by using the Hammerstein-Wiener system with a linear model having the 6th order of the numerator and denominator polynomials and an input delay of 3 samples. It showed 15.67% and 6.2% higher accuracy compared to the Wiener and Hammerstein systems, respectively. The application of those models in battery management systems will make it possible to improve the control quality for battery assemblies of solar and wind power plants in the context of the variable nature of the charging/discharging processes due to the variability of weather conditions and fluctuations in power consumption during a 24-hour period. This will ensure a wider introduction of renewable power generation into existing power systems, which is currently the leading way to ensure sustainable development of the energy sector.
Andrey Uskov, Vadym Shchokin, Oleksii Mykhailenko, and Oleksii Kryvenko
EDP Sciences
The article is devoted to the improvement of control systems for wind turbines by developing fuzzy controllers with higher transient characteristics and low computational costs of identification in comparison with the applied PI controllers. Based on the self-organization method, a fuzzy speed controller of the doubly-fed induction generator (DFIG) of a wind turbine was synthesized, which uses a zero-order Sugeno fuzzy inference system and is made in the form of a block-oriented Wiener model. This regulator is an element of the vector control system of the transistor converter on the rotor side. The results of simulation modeling of the fuzzy controller showed that it provides a lower transition time compared to the PI controller, by 53.59% during acceleration and by 79.76% during braking, and 23.81% less error speed deviations from the reference signal. Such indicators can minimize losses while maintaining the maximum output power point of the power plant. The implementation of the developed system on wind turbines contributes to increasing the efficiency of wind farms, reducing the cost of electricity production, reducing the payback period of equipment, and the sustainable development of alternative energy in general.
Igor Lutsenko, Oleksii Mykhailenko, Oksana Dmytriieva, Oleksandr Rudkovsky, Denis Mospan, Dmitriy Kukharenko, Hanna Kolomits, and Artem Kuzmenko
Private Company Technology Center
Олексій Юрійович Михайленко
Private Company Technology Center
Алексей Юрьевич Михайленко
Private Company Technology Center
RECENT SCHOLAR PUBLICATIONS
IV Ruban, VM Tkachov
Applied Aspects of Information Technology 8 (4), 424-441 , 2025
2025
Citations: 3
ОМ Сінчук, ОЮ Михайленко, ДВ Кобеляцький
Інформатика. Культура. Техніка 2, 515-520 , 2025
2025
ОМ Сінчук, ОЮ Михайленко, ІО Сінчук, МГ Котякова
Інформатика. Культура. Техніка 2, 502‒508-502‒508 , 2025
2025
O Sinchuk, O Mykhailenko, I Sinchuk, M Kotiakova, V Baranovskyi, ...
Mining of Mineral Deposits 19 (4) , 2025
2025
Citations: 1
ОЮ Михайленко, ІО Сінчук, МГ Котякова, ВО Федотов
Загальнодержавний науково-виробничий та інформаційний журнал … , 2025
2025
С Шульга, О Шульга, А Ковч
2025
V Busher, A Shestaka, L Melnikova, V Kuznetsov, O Mykhailenko, ...
Results in Engineering 26, 105415 , 2025
2025
O Mykhailenko, N Karabut, V Doskoch, O Burtseva, V Kuznetsov, ...
TEM Journal 14 (1), 107 , 2025
2025
Citations: 1
T Beridze, O Mykhailenko, I Sinchuk, M Kotiakova, M Rogoza, M Jamiński
Inżynieria Mineralna 1 (1) , 2025
2025
Citations: 1
ІО Сінчук, ТМ Берідзе, ОЮ Михайленко, ОО Яловий
Криворізький національний університет , 2025
2025
ОЮ Михайленко, ІО Сінчук, МГ Котякова
Криворізький національний університет , 2025
2025
O Mykhailenko
IOP Conference Series: Earth and Environmental Science 1415 (1), 012078 , 2024
2024
Citations: 3
О Михайленко
Довкілля та здоров'я 110 (1), 11-17 , 2024
2024
О МИХАЙЛЕНКО, В БАРАНОВСЬКИЙ, В ЩОКІН, В ФЕДОТОВ, ...
Herald of Khmelnytskyi National University. Technical sciences 331 (1), 107-115 , 2024
2024
ОЮ Михайленко, КО Шепелєв
Криворізький національний університет , 2024
2024
ОМ Сінчук, ОЮ Михайленко, ВД Барановський
Криворізький національний університет , 2024
2024
ОМ Сінчук, ОЮ Михайленко, ВВ Горшков
ЦНТУ , 2024
2024
Citations: 1
VT Tien, O Mykhailenko
IOP Conference Series: Earth and Environmental Science 1254 (1), 012048 , 2023
2023
Citations: 1
O Mykhailenko, V Baranovskyi, V Shchokin, N Karabut, H Kolomits
IOP Conference Series: Earth and Environmental Science 1254 (1), 012046 , 2023
2023
Citations: 9
ОЮ Михайленко, ІО Сінчук, КВ Будніков
Праці Інституту електродинаміки Національної академії наук України, 38-45 , 2023
2023
MOST CITED SCHOLAR PUBLICATIONS
О Михайленко
Право України 8, 43-46 , 1998
1998
Citations: 17
I Lutsenko, O Mykhailenko, O Dmytriieva, O Rudkovskyi, V Mospan, ...
Восточно-Европейский журнал передовых технологий, 57-65 , 2019
2019
Citations: 16
I Sinchuk, O Mykhailenko, A Kupin, O Ilchenko, K Budnikov, ...
2022 IEEE 8th International Conference on Energy Smart Systems (ESS), 116-122 , 2022
2022
Citations: 13
A Uskov, V Shchokin, O Mykhailenko, O Kryvenko
E3S Web of Conferences 166, 04006 , 2020
2020
Citations: 13
ОЮ Михайленко
Eastern-European Journal of Enterprise Technologies 4 (4), 30-35 , 2015
2015
Citations: 10
O Mykhailenko, V Baranovskyi, V Shchokin, N Karabut, H Kolomits
IOP Conference Series: Earth and Environmental Science 1254 (1), 012046 , 2023
2023
Citations: 9
O Mykhailenko, K Budnikov
IOP Conference Series: Earth and Environmental Science 1049 (1), 012055 , 2022
2022
Citations: 8
OY Mykhailenko
2015
Citations: 8
O Mykhailenko
E3S Web of Conferences 280, 05004 , 2021
2021
Citations: 7
O Mykhailenko
arXiv preprint arXiv:1408.3929 , 2014
2014
Citations: 5
ИА Луценко, ЮИ Гнатюк, АЮ Михайленко
Восточно-Европейский журнал передовых технологий 5 (3 (41)), 4-10 , 2009
2009
Citations: 4
IV Ruban, VM Tkachov
Applied Aspects of Information Technology 8 (4), 424-441 , 2025
2025
Citations: 3
O Mykhailenko
IOP Conference Series: Earth and Environmental Science 1415 (1), 012078 , 2024
2024
Citations: 3
ОЮ Михайленко
ДВНЗ" Криворізький національний університет" , 2013
2013
Citations: 3
ОЮ Михайленко, НО Карабут, ВП Щокін, ОЄ Мельник, АС Кузьменко
Видавничий дім «Гельветика» , 2019
2019
Citations: 2
ВК Тытюк, ИА Луценко, АЮ Михайленко
Вісник Кременчуцького державного університету ім. Михайла Остроградського … , 2010
2010
Citations: 2
АЮ Михайленко, ИА Луценко, ВК Тытюк, АВ Аниськов, АВ Омельченко, ...
Восточно-Европейский журнал передовых технологий 4 (8 (40)), 4-10 , 2009
2009
Citations: 2
O Sinchuk, O Mykhailenko, I Sinchuk, M Kotiakova, V Baranovskyi, ...
Mining of Mineral Deposits 19 (4) , 2025
2025
Citations: 1
O Mykhailenko, N Karabut, V Doskoch, O Burtseva, V Kuznetsov, ...
TEM Journal 14 (1), 107 , 2025
2025
Citations: 1
T Beridze, O Mykhailenko, I Sinchuk, M Kotiakova, M Rogoza, M Jamiński
Inżynieria Mineralna 1 (1) , 2025
2025
Citations: 1