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Up a level2025
Patil, Chaitanya and Theotokatos, Gerasimos and Tsitsilonis, Konstantinos (2025) Data-driven model for marine engine fault diagnosis using in-cylinder pressure signals. Journal of Marine Engineering & Technology, 24 (1). pp. 70-82. ISSN 2056-8487
2023
Tsitsilonis, Konstantinos-Marios and Theotokatos, Gerasimos and Patil, Chaitanya and Coraddu, Andrea (2023) Health assessment framework of marine engines enabled by digital twins. International Journal of Engine Research, 24 (7). pp. 3264-3281. ISSN 1468-0874
2021
Tsitsilonis, Konstantinos and Theotokatos, Gerasimos and Coventry, Adrian (2021) Development of an intelligent marine engines health assessment system based on digital twins and data driven models. In: Annual Conference of Marine Technology 2021, 2021-12-02 - 2021-12-02, Hellenic Institute of Marine Technology.
Tsitsilonis, Konstantinos-Marios and Theotokatos, Gerasimos (2021) A novel method for in-cylinder pressure prediction using the engine instantaneous crankshaft torque. Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment, 236 (1). pp. 131-149. ISSN 1475-0902
Tsitsilonis, Konstantinos and Theotokatos, Gerasimos (2021) Engine malfunctioning conditions identification through instantaneous crankshaft torque measurement analysis. Applied Sciences, 11 (8). 3522. ISSN 2076-3417
2020
Tsitsilonis, K M and Theotokatos, G and Habens, M; (2020) A modelling approach for predicting marine engines shaft dynamics. In: Proceedings of the International Naval Engineering Conference & Exhibition 2020. Proceedings of the International Naval Engineering Conference & Exhibition . Institute of Marine Engineering, Science and Technology, London.
Tsitsilonis, Konstantinos-Marios and Theotokatos, Gerasimos and Xiros, Nikolaos and Habens, Malcolm (2020) Systematic investigation of a large two-stroke engine crankshaft dynamics model. Energies, 13 (10). 2486. ISSN 1996-1073
2018
Tsitsilonis, Konstantinos and Theotokatos, Gerasimos (2018) A novel systematic methodology for ship propulsion engines energy management. Journal of Cleaner Production, 204. pp. 212-236. ISSN 0959-6526