Andrii Holovan

@onmu.org.ua

Head of Department of Shipbuilding and Ship Repair
Odesa National Maritime University

Andrii Holovan


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https://researchid.co/andrew.golovan

RESEARCH, TEACHING, or OTHER INTERESTS

Transportation, Control and Systems Engineering, Water Science and Technology
26

Scopus Publications

583

Scholar Citations

13

Scholar h-index

17

Scholar i10-index

Scopus Publications

  • Advances in Quantifying the Efficiency of Energy Consumption, Conversion, and Transmission on Merchant Ships
    Andrii Holovan, Iryna Honcharuk
    Future Transportation, 2026
    Improving the efficiency of energy consumption, conversion, and transmission on merchant ships has become a critical challenge due to rising fuel costs, increasingly stringent environmental regulations, and the introduction of operational efficiency requirements such as the IMO CII. Existing energy-efficiency metrics are predominantly based on absolute or design-oriented indicators and do not adequately capture the latent reserves of energy savings embedded in ship energy systems. This study addresses this gap by proposing a methodological framework for quantifying energy efficiency through the concept of relative energy-saving potential. The proposed approach integrates ship energy balance analysis with a hierarchical assessment of relative theoretical, technical, and economically feasible energy-saving potentials. The framework is demonstrated using an illustrative numerical example for a representative medium-size product tanker. The presented calculations are intended to demonstrate the applicability of the methodology rather than to provide vessel-specific operational recommendations. The results indicate that a significant share of energy losses can be identified and reduced by technical and economic feasibility considerations. The study concludes that relative energy-saving potentials offer an effective and scalable foundation for ship energy management, supporting SEEMP implementation, CII compliance strategies, and integration into digital twin and AI-based energy management systems.
  • Digital Twin Technologies for Prescriptive Maintenance of Maritime Transport: Foundations, Architectures, and Applications
    Andrii Holovan
    Lecture Notes in Intelligent Transportation and Infrastructure, 2026
  • Adaptive Maintenance Strategies for Cargo Ships: Digital Approaches and Cost Optimization
    Andrii Holovan, Miroslaw Smieszek, Igor Gritsuk, Vasyl Mateichyk, Iryna Honcharuk, Jakub Mosciszewski
    Transportation Research Procedia, 2026
    This article addresses the critical challenge of optimizing ship machinery maintenance systems by integrating digital strategies. It examines adaptive maintenance approaches that consider real-time equipment condition, predictive analytics, and cost efficiency. A comparative analysis of existing methodologies is presented, highlighting their advantages and limitations. The study introduces an enhanced framework that incorporates machine learning models, sensor-based monitoring, and an improved decision-making process for maintenance scheduling. Experimental results demonstrate the effectiveness of adaptive strategies in minimizing downtime, reducing operational costs, and extending the lifespan of ship machinery. Practical applications and long-term implications for maritime industry stakeholders are also discussed. Additionally, the article explores the economic and operational impacts of changes in technical conditions, emphasizing cost-effectiveness and time optimization in servicing practices. The findings advocate for adaptive maintenance approaches that ensure efficient ship operation, reduce downtime, and enhance the overall productivity of maritime transport.
  • Systematization of Information and Hardware Support for Vehicle Operation Monitoring Systems
    Vasyl Mateichyk, Igor Gritsuk, Miroslaw Smieszek, Andrii Holovan, Olena Volska, Andrii Navrotskyi
    Transportation Research Procedia, 2026
    The article considers an approach to solving the most important issue of monitoring the technical condition of a modern vehicle in operation, its information monitoring. A review of recent research emphasizes the need to form modern schemes for implementing information and hardware support for vehicle operation monitoring systems. The study focuses on solving the issue of systematizing monitoring schemes by implementing information and hardware support for vehicle operation monitoring systems using a morphological matrix. The key results are based on the structural analysis and synthesis of possible schemes for hardware support for vehicle monitoring systems in interaction with the infrastructure environment based on the study of the technical system "Vehicle - Infrastructure". The article explores the development of schemes for the hardware support structure of information systems used for vehicle operation monitoring, featuring various layouts at different stages of performing their functions during operation, represented in the form of a morphological formula. The results obtained testify in favor of the proposed effective method used to obtain information about the vehicle and the infrastructure environment by ensuring its effective monitoring in operation.
  • Smart Routing for Sustainable Shipping: A Review of Trajectory Optimization Approaches in Waterborne Transport
    Yevgeniy Kalinichenko, Sergey Rudenko, Andrii Holovan, Nadiia Vasalatii, Anastasiia Zaiets, Oleksandr Koliesnik, Leonid Oberto Santana, Nataliia Dolynska
    Sustainability Switzerland, 2025
    Smart routing has emerged as a critical enabler of sustainable shipping, addressing the growing demand for energy-efficient, safe, and adaptive vessel navigation in both maritime and inland waterborne transport. This review examines the current landscape of trajectory optimization approaches by analyzing selected peer-reviewed studies and categorizing them into six thematic areas: AI/ML-based prediction, optimization and path planning algorithms, data-driven methods using AIS and GIS, weather routing and environmental modeling, digital platforms and decision support systems, and hybrid or rule-based frameworks for autonomous navigation. The analysis highlights recent advances in deep learning for trajectory forecasting, multi-objective and heuristic optimization techniques, and the use of real-time environmental data in routing decisions. Supplemental review using Scopus-based topic mapping confirms the centrality of integrated digital strategies, high-performance computing, and physics-informed modeling in emerging research. Despite notable progress, the field remains fragmented, with limited real-time integration, underexplored regulatory alignment, and a lack of explainable AI applications. The review concludes by outlining future directions, including the development of hybrid and interpretable optimization frameworks, and expanding research tailored to inland navigation with its distinct operational challenges. These insights aim to support the design of next-generation navigation systems that are robust, intelligent, and environmentally compliant.
  • Digital strategies for enhancing the efficiency of cargo ships maintenance
    Andrii Holovan
    Some Issues of Increasing the Energy Efficiency of Ships by Improving Navigation Methods, 2025
    Some issues of increasing the energy efficiency of ships by improving navigation methodsThis section is dedicated to the systematization of digital solutions in the field of ship maintenance, with a focus on enhancing the reliability of ship equipment, reducing costs, and improving operational performance. The analysis of previous studies and publications is used to identify potential challenges and demonstrate how the application of digital strategies can effectively address them. The section explores modern approaches to implementing digital strategies in the context of systematic maintenance of cargo vessels, outlines the main challenges related to the inefficiencies of traditional maintenance practices, and substantiates the necessity of adopting digital strategies to achieve sustainable shipping objectives. The emphasis is placed on the integration of digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), digital twins, and Big Data to ensure the reliable operation of fleet technical systems. It is justified that the use of digital models not only enhances the safety and efficiency of maintenance processes but also enables significant reductions in fuel consumption through optimized engine load management, early fault detection, and predictive maintenance planning. A digital strategy development approach is proposed, based on the principles of energy-efficient lifecycle management of ship systems. The potential of virtualized maintenance is analyzed as a means of minimizing resource consumption, human effort, and environmental impact. Examples are provided of digital platforms being implemented to monitor the technical condition of vessels in real time, which allows for increased flexibility in decision-making and reduced downtime. The section also discusses and substantiates optimal parameters for a ship maintenance system based on the use of digital strategies.
  • A Review of Digital Twin Applications for Optimizing Maritime Maintenance
    Transport Means Proceedings of the International Conference, 2025
  • Navigating Toward a Greener Future: An Analysis of Emission Reduction in Shipping
    Igor Gritsuk, Andrii Golovan, Iryna Honcharuk, Rima Mickiene
    Green Energy and Technology, 2025
  • Features of Optimization of Maintenance Plan for Thermoelectric Generators of Marine Propulsion Systems
    Andrii Golovan, Igor Gritsuk, Iryna Honcharuk, Olena Volska, Yuriy Grytsuk, Valerii Hritsuk
    Lecture Notes in Intelligent Transportation and Infrastructure, 2025
  • RESEARCH ON THE USE OF BIOGAS AS AN ADDITIVE TO COMPRESSED NATURAL GAS FOR SUPPLYING VEHICLE ENGINES
    Oleksandr Kravchenko, Roman Symonenko, Juraj Gerlici, Andrii Golovan, Serhii Shymanskyi, Igor Gritsuk, Yuriy Grytsuk
    Communications Scientific Letters of the University of Zilina, 2025
    Internal combustion engines, which operate in various load and speed conditions, are significant sources of environmental pollution that affect a vehicle's movement in traffic. Automotive engines typically operate in unsteady-state modes, transitioning cyclically from one operating mode to another during vehicle operation. The potential of using biogas as an additive to compressed natural gas for automotive engines was explored within this research. The results of experimental studies on the fuel efficiency and environmental performance of a vehicle with a petrol engine, converted to run on a mixture of compressed natural gas and biogas, are presented. A comparative analysis was conducted on the fuel and economic performance, as well as environmental indicators of A-92 petrol, compressed natural gas, and a mixture of compressed natural gas and biogas in the European driving cycle modes.
  • ALGORITHMIC SUPPORT AND EFFICIENCY ANALYSIS OF COMPREHENSIVE PRESCRIPTIVE MAINTENANCE FOR CARGO SHIPS USING PREDICTIVE MONITORING
    Andrii Holovan, Igor Gritsuk, Valerii Verbovskyi, Volodymyr Kalchenko, Yuriy Grytsuk, Oleksiy Verbovskiy, Serhii Dotsenko, Alla Lysykh, Roman Symonenko, Oleksandr Subochev
    Eastern European Journal of Enterprise Technologies, 2025
  • Enhancing Information Exchange in Ship Maintenance through Digital Twins and IoT: A Comprehensive Framework
    Andrii Golovan, Vasyl Mateichyk, Igor Gritsuk, Alexander Lavrov, Miroslaw Smieszek, Iryna Honcharuk, Olena Volska
    Computers, 2024
  • APPLICATION OF FUZZY CELLULAR AUTOMATA TO OPTIMIZE A VESSEL ROUTE CONSIDERING THE FORECASTED HYDROMETEOROLOGICAL CONDITIONS
    Sergiy Dudchenko, Oleksandr Tymochko, Dmytro Makarchuk, Andrii Golovan
    Eastern European Journal of Enterprise Technologies, 2024
  • Reliable Ship Emergency Power Source: A Monte Carlo Simulation Approach to Optimize Remaining Capacity Measurement Frequency for Lead-Acid Battery Maintenance
    Andrii Golovan, Igor Gritsuk, Iryna Honcharuk
    SAE International Journal of Electrified Vehicles, 2023
  • PRINCIPLES OF TRANSPORT MEANS MAINTENANCE OPTIMIZATION: EQUIPMENT COST CALCULATION
    A Golovan, I Gritsuk, I Honcharuk
    Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, 2023
  • Analysis and structuring diagnostic large volume data of technical condition of complex equipment in transport
    V V Vychuzhanin, N R Rudnichenko, Z Sagova, M Smieszek, V V Cherniavskyi, A I Golovan, M V Volodarets
    Iop Conference Series Materials Science and Engineering, 2020
  • Aspects of Remote Monitoring of the Transport Vessel Under Operating Conditions
    Andrii Golovan, Igor Gritsuk, Maksym Kurtsev, Oksana Ischuka, Roman Vrublevskyi
    Lecture Notes in Intelligent Transportation and Infrastructure, 2020
  • Features of mathematical modeling in the problems of determining the power of a turbocharged engine according to the characteristics of the turbocharger
    Andrii Golovan, Igor Gritsuk, Vadym Popeliuk, Olga Sherstyuk, Iryna Honcharuk, Roman Symonenko, Viktoriya Saravas, Mykyta Volodarets, Maksym Ahieiev, Dmytro Pohorletskyi, Igor Khudiakov
    SAE International Journal of Engines, 2020
  • Aspects of Forming the Information V2I Model of the Transport Vessel
    Andrii Golovan, Igor Gritsuk, Sergey Rudenko, Viktoriya Saravas, Anatoliy Shakhov, Oleksandr Shumylo
    Proceedings of the International Conference on Modern Electrical and Energy Systems Mees 2019, 2019
  • Optimization of Vehicle Operating Conditions by Using Simulation Modeling Software
    Mykyta Volodarets, Igor Gritsuk, Nataliia Chygyryk, Evgen Belousov, Andrii Golovan, Olena Volska, Vitalii Hlushchenko PhD, Dmytro Pohorletskyi, Olga Volodarets
    SAE Technical Papers, 2019
  • Improvement of the Assessment Methods for the Braking Dynamics with ABS Malfunction
    Mikhail Podrigalo, Dmytro Klets, Oleg Sergiyenko, Igor V. Gritsuk, Oleh Soloviov, Yuriy Tarasov, Maksym Baitsur, Nickolay Bulgakov, Vasyl Hatsko, Andrii Golovan, Volodymyr Savchuk, Maksym Ahieiev, Tetiana Bilousova
    SAE Technical Papers, 2018
  • The choice of a rational type of fuel for technological vehicles
    Victor Zaharchuk, Igor V. Gritsuk, Oleg Zaharchuk, Andrii Golovan, Sergey Korobka, Larisa Pylypiuk, Nickolay Rudnichenko
    SAE Technical Papers, 2018
  • Improving the Process of Vehicle Units Diagnosis by Applying Harmonic Analysis to the Processing of Discrete Signals
    Andrii Golovan, Sergey Rudenko, Igor Gritsuk, Anatoliy Shakhov, Vladimir Vychuzhanin, Vasyl Mateichyk, Olga Kononova, Ivan Kuric, Milan Saga, Evgeny Zenkin E.Y.
    SAE Technical Papers, 2018
  • Evaluation of the powertrain condition based on the car acceleration and coasting data
    Ernest Rabinovich, Igor V. Gritsuk, Vladimir Zuiev, Evgeny Zenkin E.Y., Andrii Golovan, Yuriy Zybtsev, Vladimir Volkov, Juraj Gerlici, Kateryna Kravchenko, Olena Volska, Nickolay Rudnichenko
    SAE Technical Papers, 2018
  • Cognitive model of the internal combustion engine
    Vladimir Vychuzhanin, Nickolay Rudnichenko, Denys Shybaiev, Igor Gritsuk, Victor Boyko, Natalia Shybaieva, Andrii Golovan, Victor Zaharchuk, Ernest Rabinovich, Volodymyr Savchuk, Evgeny Zenkin E.Y.
    SAE Technical Papers, 2018
  • The complex application of monitoring and express diagnosing for searching failures on common rail system units
    Igor V. Gritsuk, Evgeny Zenkin E.Y., Nickolay Bulgakov, Andrii Golovan, Ivan Kuric, Vasyl Mateichyk, Milan Saga, Vladimir Vychuzhanin, Roman Symonenko, Ernest Rabinovich, Viacheslav Pavlenko, Dmytro Pohorletskyi
    SAE Technical Papers, 2018

RECENT SCHOLAR PUBLICATIONS

  • Digital Twin-Based Assessment and Forecasting of Marine Plate Heat Exchanger Performance Under Variable Operating Conditions
    M Bilka, I Gritsuk, A Holovan, O Volska, I Honcharuk, M Kohutiar, M Krbata
    Machines 14 (5), 497 , 2026
    2026
  • Augmented Reality in Maritime Navigation: Future Solutions for Young Navigators
    A Holovan, V Dubra, A Holovan
    Future Transportation 6 (3), 93 , 2026
    2026
  • Advances in Quantifying the Efficiency of Energy Consumption, Conversion, and Transmission on Merchant Ships
    A Holovan, I Honcharuk
    Future Transportation 6 (1), 40 , 2026
    2026
    Citations: 1
  • < span class=" word"> Advances< span class=" word"> in< span class=" word">< span class=" changedDisabled"> Quantifying< span class=" word"> the< span class=" word">< span …
    A Holovan, I Honcharuk
    2026
  • Adaptive Maintenance Strategies for Cargo Ships: Digital Approaches and Cost Optimization
    A Holovan, M Smieszek, I Gritsuk, V Mateichyk, I Honcharuk, ...
    Transportation Research Procedia 93, 162-167 , 2026
    2026
  • Systematization of Information and Hardware Support for Vehicle Operation Monitoring Systems
    V Mateichyk, I Gritsuk, M Smieszek, A Holovan, O Volska, A Navrotskyi
    Transportation Research Procedia 93, 923-928 , 2026
    2026
  • TECHNICAL SOLUTIONS FOR WASTE HEAT UTILIZATION TO IMPROVE FUEL EFFICIENCY AND ENVIRONMENTAL SAFETY OF SHIPS
    A Golovan, I Honcharuk
    Navigation and Ship handling: New approaches, Training and Simulations, 119-121 , 2025
    2025
  • Smart Routing for Sustainable Shipping: A Review of Trajectory Optimization Approaches in Waterborne Transport
    Y Kalinichenko, S Rudenko, A Holovan, N Vasalatii, A Zaiets, O Koliesnik, ...
    Sustainability 17 (18), 8466 , 2025
    2025
    Citations: 7
  • Digital Twin Technologies for Prescriptive Maintenance of Maritime Transport: Foundations, Architectures, and Applications
    A Holovan
    International Conference TRANSBALTICA: Transportation Science and Technology … , 2025
    2025
  • Some issues of increasing the energy efficiency of ships by improving navigation methods
    Y Kalinichenko, N Vasalatii, O Rossomakha, O Koliesnik, O Sagaydak, ...
    2025
  • Digital strategies for enhancing the efficiency of cargo ships maintenance
    A Holovan
    SOME ISSUES OF INCREASING THE ENERGY EFFICIENCY OF SHIPS BY IMPROVING … , 2025
    2025
    Citations: 1
  • RESEARCH ON THE USE OF BIOGAS AS AN ADDITIVE TO COMPRESSED NATURAL GAS FOR SUPPLYING VEHICLE ENGINES.
    O Kravchenko, R Symonenko, J Gerlici, A Golovan, S Shymanskyi, ...
    Komunikácie 27 (3) , 2025
    2025
    Citations: 3
  • Navigating Toward a Greener Future: An Analysis of Emission Reduction in Shipping
    I Gritsuk, A Golovan, I Honcharuk, R Mickiene
    Energy Rationality and Management for Decarbonization, 373-380 , 2025
    2025
    Citations: 3
  • ALGORITHMIC SUPPORT AND EFFICIENCY ANALYSIS OF COMPREHENSIVE PRESCRIPTIVE MAINTENANCE FOR CARGO SHIPS USING PREDICTIVE MONITORING.
    A Holovan, I Gritsuk, V Verbovskyi, V Kalchenko, Y Grytsuk, O Verbovskiy, ...
    Eastern-European Journal of Enterprise Technologies 135 (3) , 2025
    2025
    Citations: 7
  • ПОЛІПШЕННЯ ПРОЦЕСУ ПІДГОТОВКИ ПАЛИВ НАФТОВОГО ПОХОДЖЕННЯ ДЛЯ СУДОВИХ СЕРЕДНЬООБЕРТОВИХ ДИЗЕЛІВ
    СВ Сагін, ДЮ Руснак
    ВОДНИЙ ТРАНСПОРТ, 109—120-109—120 , 2024
    2024
  • Enhancing information exchange in ship maintenance through digital twins and IoT: A comprehensive framework
    A Golovan, V Mateichyk, I Gritsuk, A Lavrov, M Smieszek, I Honcharuk, ...
    Computers 13 (10), 261 , 2024
    2024
    Citations: 20
  • Features of optimization of maintenance plan for thermoelectric generators of marine propulsion systems
    A Golovan, I Gritsuk, I Honcharuk, O Volska, Y Grytsuk, V Hritsuk
    International Conference TRANSBALTICA: Transportation Science and Technology … , 2024
    2024
    Citations: 5
  • Дослідження процесів адаптивізації системи технічного обслуговування за результатами зміни стану суднових технічних засобів
    A Golovan
    Системи управління, навігації та зв’язку. Збірник наукових праць 2 (76), 18-23 , 2024
    2024
  • Application of fuzzy cellular automata to optimize a vessel route considering the forecasted hydrometeorological conditions
    S Dudchenko, O Tymochko, D Makarchuk, A Golovan
    Eastern-European Journal of Enterprise Technologies 2 (3 (128)), 28-37 , 2024
    2024
    Citations: 5
  • Особливості оцінювання ефективності систем технічного обслуговування вантажних суден
    A Golovan
    Системи управління, навігації та зв’язку. Збірник наукових праць 1 (75), 5-10 , 2024
    2024
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Features of Mathematical Modeling in the Problems of Determining the Power of a Turbocharged Engine According to the Characteristics of the Turbocharger
    A Golovan, I Gritsuk, V Popeliuk, O Sherstyuk, I Honcharuk, R Symonenko, ...
    SAE International Journal of Engines 13 (1), 5-16 , 2020
    2020.0
    Citations: 47
  • Optimization of vehicle operating conditions by using simulation modeling software
    M Volodarets, I Gritsuk, N Chygyryk, E Belousov, A Golovan, O Volska, ...
    SAE Connected and Automated Vehicle Conference Israel 281028 , 2019
    2019.0
    Citations: 43
  • Improvement of the assessment methods for the braking dynamics with abs malfunction
    M Podrigalo, D Klets, O Sergiyenko, IV Gritsuk, O Soloviov, Y Tarasov, ...
    Brake Colloquium & Exhibition-36th Annual , 2018
    2018.0
    Citations: 40
  • Evaluation of the powertrain condition based on the car acceleration and coasting data
    E Rabinovich, IV Gritsuk, V Zuiev, E Zenkin EY, A Golovan, Y Zybtsev, ...
    International Powertrains, Fuels & Lubricants Meeting 246374 , 2018
    2018.0
    Citations: 38
  • Analysis and structuring diagnostic large volume data of technical condition of complex equipment in transport
    VV Vychuzhanin, NR Rudnichenko, Z Sagova, M Smieszek, ...
    IOP conference series: materials science and engineering 776 (1), 012049 , 2020
    2020.0
    Citations: 36
  • The complex application of monitoring and express diagnosing for searching failures on common rail system units
    IV Gritsuk, E Zenkin EY, N Bulgakov, A Golovan, I Kuric, V Mateichyk, ...
    International Powertrains, Fuels & Lubricants Meeting 246374 , 2018
    2018.0
    Citations: 34
  • Cognitive model of the internal combustion engine
    V Vychuzhanin, N Rudnichenko, D Shybaiev, I Gritsuk, V Boyko, ...
    International Powertrains, Fuels & Lubricants Meeting 246374 , 2018
    2018.0
    Citations: 33
  • Aspects of forming the information V2I model of the transport vessel
    A Golovan, I Gritsuk, S Rudenko, V Saravas, A Shakhov, O Shumylo
    2019 IEEE International Conference on Modern Electrical and Energy Systems … , 2019
    2019.0
    Citations: 31
  • Improving the process of vehicle units diagnosis by applying harmonic analysis to the processing of discrete signals
    A Golovan, S Rudenko, I Gritsuk, A Shakhov, V Vychuzhanin, V Mateichyk, ...
    International Powertrains, Fuels & Lubricants Meeting 246374 , 2018
    2018.0
    Citations: 27
  • The choice of a rational type of fuel for technological vehicles
    V Zaharchuk, IV Gritsuk, O Zaharchuk, A Golovan, S Korobka, L Pylypiuk, ...
    SAE Technical Paper , 2018
    2018.0
    Citations: 25
  • Enhancing information exchange in ship maintenance through digital twins and IoT: A comprehensive framework
    A Golovan, V Mateichyk, I Gritsuk, A Lavrov, M Smieszek, I Honcharuk, ...
    Computers 13 (10), 261 , 2024
    2024.0
    Citations: 20
  • Reliable Ship Emergency Power Source
    A Golovan, I Gritsuk, I Honcharuk
    SAE International Journal of Electrified Vehicles 13 (2), 179-190 , 2024
    2024.0
    Citations: 17
  • Aspects of remote monitoring of the transport vessel under operating conditions
    A Golovan, I Gritsuk, M Kurtsev, O Ischuka, R Vrublevskyi
    Workshop on ICTE in Transportation and Logistics, 295-301 , 2019
    2019.0
    Citations: 13
  • Определение эффективных параметров и диагностика судовой дизельной энергетической установки
    RA Varbanets, VG Ivanovskii, GAI Kucherenko Iu
    Suchasnі іnformatsіinі ta іnnovatsіinі tekhnologії na transportі. MІNTT-2012 … , 2012
    2012.0
    Citations: 12
  • Marine incidents management and information exchange technologies in the process of safe ship operation
    O Melnyk, Y Volianska, O Onishchenko, S Onyshchenko, A Bondar, ...
    International Journal of Computer Science and Network Security 23 (1), 64-70 , 2023
    2023.0
    Citations: 11
  • Параметрическая диагностика судовой дизельной энергетической установки в эксплуатации
    РА Варбанец, ЮН Кучеренко, АИ Головань
    Авиационно-космическая техника и технология, 197–202-197–202 , 2011
    2011.0
    Citations: 11
  • System of Water Vehicle Power Plant Remote Condition Monitoring
    A Golovan, I Honcharuk, O Deli, O Kostenko, Y Nykyforov
    IOP Conference Series: Materials Science and Engineering 1199 (1), 012049 , 2021
    2021.0
    Citations: 10
  • Мониторинг частотных параметров судового дизеля с турбонаддувом
    РА Варбанец, АИ Головань, ЮН Кучеренко
    Citations: 9
  • Smart Routing for Sustainable Shipping: A Review of Trajectory Optimization Approaches in Waterborne Transport
    Y Kalinichenko, S Rudenko, A Holovan, N Vasalatii, A Zaiets, O Koliesnik, ...
    Sustainability 17 (18), 8466 , 2025
    2025.0
    Citations: 7
  • ALGORITHMIC SUPPORT AND EFFICIENCY ANALYSIS OF COMPREHENSIVE PRESCRIPTIVE MAINTENANCE FOR CARGO SHIPS USING PREDICTIVE MONITORING.
    A Holovan, I Gritsuk, V Verbovskyi, V Kalchenko, Y Grytsuk, O Verbovskiy, ...
    Eastern-European Journal of Enterprise Technologies 135 (3) , 2025
    2025.0
    Citations: 7