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Life Prediction and Health Monitoring of Marine Propulsion System under Ice Impact.


Life Prediction and Health Monitoring of Marine Propulsion System under Ice Impact.




  • Ongoing


Project website

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€ 1,900,000


Aug 2020 - Aug 2023

Type of action

Joint Call

Project Abstract

The main goal of HealthProp is to develop a digital twin platform - by combining intelligent sensors, data acquisition systems and fault detection algorithms through physical and data-driven models in the cloud - towards monitoring the propulsion system and drive line of ships in Arctic and Antarctic operations, with the aim to improve the system reliability and increase the operational safety in harsh environmental conditions. There is a rapid increase in shipping activities, traffic and operations in Arctic and Antarctic waters, in particular, tourist activities are growing rapidly owing to increased traffic from cruise ships. A de-coupled approach is proposed to model the load and load effects on the drive line system, including power generation, power transmission and propeller during ice impact. The models, developed and verified by the project partners through real data measurements from the research vessel SA Agulhas II in South Africa, will be used in a virtual model (Digital Twin) of the propulsion system for life prediction and fault detection and strong decision support during

ice navigation. The developed digital twin will be tested on SA Agulhas II to estimate the remaining useful life of her propulsion machinery and -components and to predict failure due to ice impact. The outcomes of the project will be disseminated through scientific articles in reputed journals and presentations in relevant conferences. The data and findings are relevant to the inform and further the development of new codes and guidelines for Arctic and Antarctic operation. Finally, the operational digital twin model will remain as a working asset to benefit operations and decisions on the SA Agulhas II.

HealthProp is funded by the MarTERA partners Research Council of Norway (RCN), South African Department of Science and Innovation (DSI) and German Federal Ministry of Economic Affairs and Energy (BMWi).



Prof Amir Nejad, Norwegian University of Science and Technology, Norway



Norwegian University of Science and Technology, University, Norway

Stellenbosch University, University, South Africa

Technische Universität Hamburg, University, Germany

RWTH Aachen University, University, Germany

EDRMedeso, SME, Norway

Otto Piening GmbH, SME, Germany