Monitoring hydrodynamic vessel performance by incremental machine learning using in-service data
Author:
Affiliation:
1. DTU Construct, Technical University of Denmark, Kgs. Lyngby, Denmark
2. Hull Performance and Analytics, Kgs. Lyngby, Denmark
Funder
A/S D/S Orient’s Fond
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/09377255.2024.2362012
Reference51 articles.
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4. Prediction of ships’ speed-power relationship at speed intervals below the design speed
5. Bertram V, Schneekluth H. 1998. Ship design for efficiency and economy. Oxford: Butterworth & Heinemann.
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