Remote Monitoring, Simulation and Diagnosis of Electronically Controlled Marine Engines

Ozren Bukovac, Vladimir Pelić, Tomislav Mrakovčić, Maro Jelić, Gojmir Radica (), Tino Vidović, Nikola Račić, Branko Lalić and Karlo Bratić
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Ozren Bukovac: Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Vladimir Pelić: Faculty of Maritime Studies, University of Rijeka, Studentska ulica 2, 51000 Rijeka, Croatia
Tomislav Mrakovčić: Faculty of Engineering, University of Rijeka, Vukovarska 58, 51000 Rijeka, Croatia
Maro Jelić: Maritime Department, University of Dubrovnik, Cira Carica 4, 20000 Dubrovnik, Croatia
Gojmir Radica: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Ruđera Boškovića 32, 21000 Split, Croatia
Tino Vidović: Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Ruđera Boškovića 32, 21000 Split, Croatia
Nikola Račić: Faculty of Maritime Studies, University of Split, Ruđera Boškovića 37, 21000 Split, Croatia
Branko Lalić: Faculty of Maritime Studies, University of Split, Ruđera Boškovića 37, 21000 Split, Croatia
Karlo Bratić: Faculty of Maritime Studies, University of Split, Ruđera Boškovića 37, 21000 Split, Croatia

Energies, 2025, vol. 18, issue 6, 1-17

Abstract: The implementation of a system for the acquisition, transferring and processing of data essential for marine engine diagnostics is the basis of condition maintenance. Determining the most influential operating parameters, and conducting monitoring, analysis and taking action based on expert knowledge prevents downtime due to possible malfunctions. Timely corrections and replacements of worn parts based on condition diagnostics enable maintenance planning, which reduces the frequency of maintenance and the accumulation of unnecessary spare parts in warehouses. For research purposes, a system for remote data collection from electronically controlled marine engines was developed and applied. The system was installed on a four-stroke high-speed propulsion engine from a ferry, and the operating parameters of the engine were monitored during regular sailing in order to detect irregularities and possible failures at an early stage. The measurement system monitored the parameters obtained through the electronic engine control module via the J1939 protocol, and in this paper, the following relevant engine parameters were analyzed: engine speed, boost pressure, fuel consumption and engine load at the current speed. The analysis included the creation of trend diagrams to present the distribution of the minimum, median and maximum values of each parameter of all the measurements performed. This study also examined the simulation of the faults of the high-speed four-stroke marine engine model. By utilizing sensor data from critical system components, this research investigated different scenarios. The analysis aimed to elucidate the impact of these faults on engine performance. Based on the analyses of the relevant operating parameters of the engine, diagnostics were carried out.

Keywords: marine engine; diagnostic system; remote monitoring; simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2025
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