Téléchargement | - Voir la version de l’auteur : Estimates of wave field in the vicinity of a floating body using its motions and machine learning techniques (PDF, 1.2 Mio)
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DOI | Trouver le DOI : https://doi.org/10.23919/OCEANS44145.2021.9706106 |
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Auteur | Rechercher : Akinturk, Ayhan1; Rechercher : Zaman, Hasanat1; Rechercher : Seo, Dong Cheol1; Rechercher : He, Moqin1; Rechercher : Mak, Lawrence1 |
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Affiliation | - Conseil national de recherches du Canada. Génie océanique, côtier et fluvial
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Format | Texte, Article |
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Conférence | OCEANS 2021, September 20–23, 2021, San Diego, CA, USA |
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Sujet | wave field estimation; ship motions; machine learning; artificial neural networks; short time FFT |
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Résumé | Real time estimation of actual and imminent wave fields in the vicinity of ships and floating structures are important for safe and efficient operations. According to the relevant literature, three different approaches have been used practically: the use of wave buoys, ship radars (e.g. X-band and K-band radars) / satellite and ship motions. The present study employs artificial neural networks and machine learning type modelling to extend the previous research on neighboring wave field estimation to consider the relative heading between the ship and the waves. For the different cases evaluated, the proposed machine learning model showed very good prediction for relative heading. Some of the results from this study are presented in this paper. |
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Date de publication | 2021-09-20 |
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Maison d’édition | IEEE |
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Dans | |
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Langue | anglais |
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Publications évaluées par des pairs | Oui |
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Exporter la notice | Exporter en format RIS |
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Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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Identificateur de l’enregistrement | 4d4f5b08-02bc-4a13-b8a0-d58643039dbd |
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Enregistrement créé | 2021-09-01 |
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Enregistrement modifié | 2022-02-23 |
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