STUDY OF THE PROCESSES OF ADAPTATION OF THE MAINTENANCE SYSTEM BASED ON THE RESULTS OF CHANGES IN THE CONDITION OF SHIP'S MACHINERY
DOI:
https://doi.org/10.26906/SUNZ.2024.2.018Keywords:
adaptation, maintenance, cargo ships, change of technical condition, efficiency, maintenance costs, analysisAbstract
The article deals with the important problem of optimizing the maintenance system of ship's machinery, considering their wear and tear, current and predicted condition. The analysis of recent research and publications in this area indicates the need to develop adaptive maintenance strategies aimed at efficient use of resources and increasing the reliability of ship systems. The purpose of the article is to study the processes of adaptation of the maintenance system based on the results of changes in the condition of ship's technical means and to develop practical recommendations for optimizing these processes. The results of the article include a study of the processes of adaptation of the parameters of the maintenance system as a result of one process of changing the technical condition. The author considers the methodology for determining the relative frequency of maintenance to determine the operating points of the system. In particular, the article discusses the impact of technical condition changes on costs and optimization of maintenance processes. The results of the study make it possible to determine the optimal maintenance strategies in terms of costs and time, considering the wear and tear and malfunctions of the ship's machinery. The conclusions emphasize the importance of developing adaptive approaches to the maintenance of ship systems, which will ensure their efficient operation and increase the overall productivity of maritime transport.Downloads
References
Lazakis, I., Raptodimos, Y., & Varelas, T. J. (2018). Predicting ship machinery system condition through analytical reliability tools and artificial neural networks. Ocean Engineering, 152, 404–415. https://doi.org/10.1016/j.oceaneng.2017.11.017
Karatuğ, Ç., Arslanoğlu, Y., & Soares, C. G. (2023). Review of maintenance strategies for ship machinery systems. Journal of Marine Engineering & Technology, 22(5), 233–247. https://doi.org/10.1080/20464177.2023.2180831
Jimenez, V. J., Bouhmala, N., & Gausdal, A. H. (2020). Developing a predictive maintenance model for vessel machinery. Journal of Ocean Engineering and Science, 5(4), 358–386. https://doi.org/10.1016/j.joes.2020.03.003
Karatuğ, A., & Arslanoğlu, Y. (2022). Development of condition-based maintenance strategy for fault diagnosis for ship engine systems. Ocean Engineering, 256, 111515. https://doi.org/10.1016/j.oceaneng.2022.111515
Animah, I., & Shafiee, M. (2019). Maintenance strategy selection for critical shipboard machinery systems using a hybrid AHP-PROMETHEE and cost benefit analysis: a case study. Journal of Marine Engineering & Technology, 20(5), 312–323. https://doi.org/10.1080/20464177.2019.1572705
Lazakis, I., Turan, O., Alkaner, S., & Ölçer, A. I. (2009). Effective ship maintenance strategy using a risk and criticality-based approach. Proceedings of 13th Congress of Intl. Maritime Assoc. Of Mediterranean Sea. https://pure.strath.ac.uk/portal/files/39330169/Lazakis_etal_IMAM2009_ship_maintenance_strategy_using_a_risk_and_criticality.pdf
Jiang, A., Dong, N., Tam, K. L., & Lyu, C. (2018). Development and Optimization of a Condition-Based Maintenance Policy with Sustainability Requirements for Production System. Mathematical Problems in Engineering, 2018, 1–19. https://doi.org/10.1155/2018/4187575
Coraddu, A., Oneto, L., Ghio, A., Savio, S., Anguita, D., & Figari, M. (2014). Machine learning approaches for improving condition-based maintenance of naval propulsion plants. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 230(1), 136–153. https://doi.org/10.1177/1475090214540874
Chen, Y., Gong, W., Xu, D., & Kang, R. (2018). Imperfect Maintenance Policy Considering Positive and Negative Effects for Deteriorating Systems With Variation of Operating Conditions. IEEE Transactions on Automation Science and Engineering, 15, 872-878. https://doi.org/10.1109/TASE.2017.2675405
Сучасні технології і методи моделювання інформаційних процесів в галузі водного транспорту з оглядом на морську безпеку : монографія / А.І. Головань, Є.В. Калініченко, І.П. Гончарук, та ін. – Одеса : НУ «ОМА», 2023. – 244 с. ISBN 978-617-7857-26-5
Головань, А. (2023). Формування цифрових стратегій для вирішення задач підвищення ефективності систем технічного обслуговування вантажних суден. Вісник Приазовського Державного Технічного Університету. Серія: Технічні науки, (46), 149–158. https://doi.org/10.31498/2225-6733.46.2023.288184