Automation Transition Path
With ships being designed to operate at least for 30 years, it is inevitable that the onboard systems will eventually need to be replaced either due to errors or because they have become obsolete and new equipment will have to be installed. The concept of Maritime 4.0 and the strict regulations imposed by the IMO for the required energy efficiency and emissions control for sea vessels demand that ships be designed keeping both robustness and adaptability in mind. In other words, new marine vessel designs need to take into account uncertain future modifications in order to stay competitive. However, no one can guarantee that the new or replaced subsystems will be compatible and work seamlessly as part of the greater integrated ship automation system. Τhis work package actually focuses on the aforementioned automation transition path that the ships will undergo in the years to come.
In particular, the aim is to construct scalable and modular system control architectures, which allow for extensions and exchanges of sub-systems over the vessel's lifetime without compromising system stability as well as robust systems that properly diagnose faults and take remedial actions by prioritizing the overall safety.
WP1 Keywords Tree
A. Research papers
 Kougiatsos, N., Negenborn, R. R., & Reppa, V. (2022). Distributed model-based sensor fault diagnosis of marine fuel engines. IFAC-PapersOnLine, 55(6), 347-353. https://doi.org/10.1016/j.ifacol.2022.07.153
 Kougiatsos, N., Reppa, V. (2022). A Distributed virtual sensor scheme for marine fuel engines. Nominated for Best Paper Award in IFAC CAMS 2022, Kongens Lyngby, Denmark, September, 2022.
 van Benten, M. C., Kougiatsos, N., & Reppa, V. (2022). Mission-oriented Modular Control of Retrofittable Marine Power Plants. Proceedings of the International Ship Control Systems Symposium, 16, . https://doi.org/10.24868/10721
 Kougiatsos, N., Negenborn, R. R., & Reppa, V. (2022). A Multi-Sensory Switching-stable Architecture for Distributed Fault Tolerant Propulsion Control of Marine Vessels. Proceedings of the International Ship Control Systems Symposium, 16, . https://doi.org/10.24868/10728
 Kougiatsos, N., Zwaginga, J., Pruyn, J. & Reppa, V. (2023). Semantically enhanced system and automation design of complex marine vessels, to be featured in the Proceedings of the 2023 IEEE Symposium Series on Computational Intelligence (SSCI)
 Kougiatsos, N., & Reppa, V. (2024). A Distributed Cyber-Physical Framework for sensor fault diagnosis of marine internal combustion engines. To appear in IEEE Transactions on Control Systems Technology, SI on Resilient Control of Cyber Physical Power and Energy Systems.