Odesa National Maritime University

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.

Shaft misalignment is considered as a defect which forms additional forces and reaction moments in the cage area creating a preload on the shaft and bearing and also changing the spectral structure of the vibration signal. These structural changes were analyzed, and typical diagnostic features for assessing the development of damage in the bearing by the methods of periodically non-stationary random processes were summarized. The results of processing and analysis of vibration acceleration signals obtained during laboratory tests on a vibrating stand of the BBC-R 6205 2RS/P6 bearings at different angular misalignment values were presented.

Automatic Identification System Aids to Navigation (AIS AtoNs) represent a transformative technology for inland water transport, increasing navigation safety and operational efficiency. This paper focuses on the deployment and performance of AIS AtoNs on a selected section of the Danube River. The paper evaluates the benefits, challenges, and results of a pilot testing and offers insights into the practical application of AIS AtoNs in real-world conditions. The results show improvements in navigation safety, operational efficiency, and environmental sustainability, while addressing issues such as energy consumption and reliability during adverse conditions. Additionally, the study identifies the need for standardized anchoring systems and advanced energy management solutions to enhance buoy stability and operational continuity. These findings provide a foundation for future advancements in AIS AtoNs integration, emphasizing their potential for global adoption in inland navigation systems.

This study presents an analytical methodology for evaluating the influence of hull design parameters on the controllability and manoeuvrability of ships equipped with integrated electric propulsion systems. Unlike traditional approaches that examine the hull and propulsion plant independently, the proposed method employs a generalized model of transient modes within the propulsion complex, enabling the coupled interaction among the hull, propulsion units, electric motors, and the electrical power system to be captured during manoeuvring. Active experimental design and regression modelling are applied to construct controllability diagrams, identify the most influential dimensionless parameters, and reduce computational effort. The methodology is used to assess the effect of hull elongation (0.08–0.16 L) with curvature variation limited to 6%. The results show that this degree of elongation has minimal impact on turning performance and course-keeping stability, confirming the feasibility of such design modifications. The proposed approach provides an effective tool for early-stage design and modernization of electric ships and supports decision-making in ship behaviour prediction and traffic management.

The article describes the operating algorithm of an internal combustion engine thermal preparation system, which incorporates a rapid warm-up subsystem, exhaust gas heat recovery, and a phase-change heat accumulator. It includes algorithms for the operation of the overall system as well as the specific algorithms for the rapid warm-up and heat recovery subsystems. The system’s function is presented according to the developed algorithm. The principles of interaction between the elements of the thermal preparation system are outlined. The conditions and limitations of the system’s operation are shown and justified. It is demonstrated that experimental studies using the described system algorithms confirm its operational capability. The results of experimental studies on thermal preparation processes of a stationary engine using the developed algorithm and system equipment are presented. The application of the proposed algorithms significantly reduces engine warm-up time to operating temperature, which in turn lowers fuel consumption and harmful emissions, while also increasing engine lifespan.