ОПТИМІЗАЦІЯ ЕКСПЛУАТАЦІЇ СУДНОВИХ ДИЗЕЛІВ ЗА ДОПОМОГОЮ БЕЗДРОТОВИХ СИСТЕМ МОНІТОРИНГУ:

V. V. Nikolskyi; M. V. Slobodyanyuk; M. V. Levinskyi; M. V. Nikolskyi

V. V. Nikolskyi National University "Odesa Maritime Academy", Odesa https://orcid.org/0000-0002-8123-4233
M. V. Slobodyanyuk National University "Odesa Maritime Academy", Odessa https://orcid.org/0000-0003-2248-0255
M. V. Levinskyi National University "Odesa Maritime Academy", Odesa https://orcid.org/0000-0002-6544-5110
M. V. Nikolskyi National University "Odesa Maritime Academy", Odesa https://orcid.org/0000-0002-3387-7402

Keywords: diesel generator, smart technologies, remote control, wireless monitoring systems, automatic control, integrated control systems

Abstract

The subject of this research involves the development and integration of wireless monitoring systems designed to enhance the operational efficiency and reliability of ship diesel engines, with a particular focus on emergency diesel generators such as the Kohler 50EOZD. The aim of the study is to assess the feasibility, advantages, and limitations of implementing wireless technologies for real-time diagnostics and predictive maintenance in the context of shipboard power systems.

The methodology is based on a comparative analysis of traditional wired monitoring systems and modern wireless sensor networks (WSNs), as well as the modeling of engine operating parameters and failure modes using simulation tools. The study also includes an empirical component based on the technical and operational characteristics of the Kohler 50EOZD generator. Particular attention is given to the challenges of ensuring signal integrity, data transmission reliability, and cyber-physical security in the harsh marine environment.

This research is relevant due to the growing complexity of naval power systems, the demand for autonomous operation, and the global trend toward digitization of maintenance processes. The scientific novelty lies in the proposed approach to integrating adaptive wireless systems for early fault detection, which can significantly reduce downtime and maintenance costs.

The main results confirm that the use of wireless diagnostic systems allows for real-time condition monitoring of critical engine parameters, improving fault detection accuracy and enabling data-driven maintenance strategies. The practical significance of the study is the potential to apply these solutions in both military and commercial maritime engineering sectors.

The conclusions emphasize the viability of wireless monitoring as a scalable and efficient tool for optimizing the performance and serviceability of shipboard diesel engines.

References

1. Nikolskyi, V., Slobodianiuk, M., Levinskyi, M., & Nikolskyi, M. (2024). Wireless remote control systems of marine diesel engine. In M. E. Auer et al. (Eds.), STE 2024 (pp. 121–132). Springer. https://doi.org/10.1007/978-3-031-61905-2_13.
2. Holikov, V. A., Nikolskyi, V. V., Levinskyi, M. V., Nikolskyi, M. V., & Slobodianiuk, M. V. (2022). Modernization of the remote control and monitoring system for the emergency diesel generator of the training engine-boiler department. Sudnovi enerhetychni ustanovky, (44), 64–70 [in Ukrainian].
3. Smith, J., Brown, T., & Lee, K. (2023). IoT-based remote monitoring systems for marine diesel engines: Challenges and opportunities. Journal of Marine Engineering & Technology, 22(3), 145–157. https://doi.org/10.1080/20464177.2023.2193456.
4. Chen, L., Zhang, Y., & Wang, H. (2024). Wireless sensor networks for real-time monitoring of marine propulsion systems. Ocean Engineering, 289, 116234. https://doi.org/10.1016/j.oceaneng.2023.116234.
5. Kovalenko, I., Davydenko, O., & Shaptala, D. (2022). Smart technologies in maritime diesel engine management. In Proceedings of the International Conference on Smart Technologies in Engineering (pp. 78–85). [in Ukrainian].
6. Marine, Insight (2025). Advancements in wireless monitoring for ship engine performance. Retrieved from https://www.marineinsight.com/tech/advancements-in-wireless-monitoring-for-ship-engine-performance/.
7. Li, X., & Zhao, Y. (2023). Wireless sensor networks for condition monitoring of marine diesel engines: A case study on IoT integration. Marine Technology Society Journal, 57(4), 89–102. https://doi.org/10.4031/MTSJ.57.4.8.
8. Kim, S., Park, J., & Lee, H. (2024). Real-time remote monitoring of ship propulsion systems using 5G and cloud computing. Journal of Ship Research, 68(2), 134–149. https://doi.org/10.5957/JOSR.2024.68.2.134.
9. Müller, R., & Schmidt, T. (2023). Smart maintenance of marine diesel engines using wireless monitoring systems. In Proceedings of the International Conference on Maritime Engineering (pp. 210–218). Retrieved from https://www.marine-conference.org/proceedings/2023.
10. Ivanov, V., & Petrova, O. (2025). Wireless control systems for emergency diesel generators in maritime applications. International Journal of Maritime Engineering, 167(1), 45–60. https://doi.org/10.3940/rina.ijme.2025.a1.167.
11. Zhang, Q., & Liu, W. (2024). Cybersecurity challenges in wireless monitoring systems for marine diesel engines. Ocean Engineering, 295, 117890. https://doi.org/10.1016/j.oceaneng.2024.117890.
12. Phoenix Contact. (n.d.). Programming software – PLCNEXT ENGINEER. Retrieved from http://surl.li/ocrozb.
13. Horb, S., Nikolskyi, V., Shapo, V., & Khniunin, S. (2017). Trainings in automation technology for Ukraine: TATU study book. C. Madritsch & W. Werth (Eds.). [in Ukrainian].
14. TATU. (n.d.). About the project. Retrieved from https://tatu.org.ua/ [in Ukrainian].
15. Makarov, O., Rokhas, L., & Makarova, Yu. (2018). TATU SMART LAB: User manual. Odesa: FOP Pobuta M. I. [in Ukrainian].
16. Horb, S. I., Nikolskyi, V. V., Shapo, V. F., & Khniunin, S. H. (2017). Programming controllers in the integrated development environment. Odesa: Natsionalnyi universytet "Odeska morska akademiia" [in Ukrainian].

OPTIMIZATION OF THE OPERATION OF MARINE DIESEL ENGINES USING WIRELESS MONITORING SYSTEMS

https://doi.org/10.33815/2313-4763.2025.1.30.080-091

Abstract

References