Research field (1):
Marine and maritime engineering
Research keywords (3):
Digital Twin
, Air Lubrication
, Marine Diesel Engine
Research theme for competitive and other funds (1):
2011 - 2016 Study on the development of the new experimental methodology for the self-propulsion model test to evaluate ship performance at the actural seas
Papers (15):
Oleksiy Bondarenko, Tetsugo Fukuda. Machine Learning Techniques for Monitoring of Knock Intensity in Gas-Fueled Marine Engines. Proceedings of the 15th European Workshop on Advanced Control and Diagnosis. 2019
Oleksiy Bondarenko, Tetsugo Fukuda. Development of a Diesel engine’s Digital Twin for the prediction of propulsion system dynamics. Proceedings of the 2nd International Conference on Modelling and Optimisation of Ship Energy Systems. 2019
Yasushi Kitagawa, Yoshiaki Tsukada, Oleksiy Bondarenko, Tetsugo Fukuda. Development of a Methodology for Tank Test for Direct Assessment of Propulsion and Course-keeping Performance of Diesel Engine Powered Ship in Actual Sea. International Symposium on Practical Design of Ships and Other Floating Structure. 2019