Abstract
In the present study, a Panamax container vessel sailing in the Northern Atlantic is taken as a case study. Deep neural networks are trained on results of cross-spectral analysis of 6-DOF accelerations to predict significant wave height, peak period, and relative wave direction, which were initially derived from measurements of an X-band wave radar. Both an Inception network and a residual network are compared. Overall, it is found that the vector decomposition of the relative wave heading shows superior prediction accuracy in contrast to other methods from state-of-the-art literature. Several possible extensions of the presented methodology are pointed out.
Original language | English |
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Title of host publication | Proceeding HIPER 2022 |
Editors | Volker Bertram |
Publication date | 2022 |
Pages | 96-106 |
Publication status | Published - 2022 |
Event | 14th Symposium on High-Performance Marine Vehicles - Cortona, Italy Duration: 29 Aug 2022 → 31 Aug 2022 Conference number: 14 http://data.hiper-conf.info/Hiper2022_Cortona.pdf |
Conference
Conference | 14th Symposium on High-Performance Marine Vehicles |
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Number | 14 |
Country/Territory | Italy |
City | Cortona |
Period | 29/08/2022 → 31/08/2022 |
Internet address |