Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions (2023)
- Authors:
- USP affiliated authors: SIMOS, ALEXANDRE NICOLAOS - EP ; COZMAN, FABIO GAGLIARDI - EP ; TANNURI, EDUARDO AOUN - EP ; BISINOTTO, GUSTAVO ALENCAR - EP
- Unidade: EP
- DOI: 10.1016/j.oceaneng.2023.114235
- Subjects: ENGENHARIA NAVAL E OCEÂNICA; ONDAS (OCEANOGRAFIA); REDES NEURAIS; COMPORTAMENTO DE EMBARCAÇÕES NO MAR; ESTRUTURAS OFFSHORE FLUTUANTES
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Ocean engineering
- ISSN: 0029-8018
- Volume/Número/Paginação/Ano: v. 276, article number 114235, p. 1-19, May 2023
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BISINOTTO, Gustavo Alencar et al. Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions. Ocean engineering, v. 276, p. 1-19, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.oceaneng.2023.114235. Acesso em: 30 dez. 2025. -
APA
Bisinotto, G. A., Sparano, J. V., Simos, A. N., Cozman, F. G., Ferreira, M. D. A. da S., & Tannuri, E. A. (2023). Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions. Ocean engineering, 276, 1-19. doi:10.1016/j.oceaneng.2023.114235 -
NLM
Bisinotto GA, Sparano JV, Simos AN, Cozman FG, Ferreira MDA da S, Tannuri EA. Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions [Internet]. Ocean engineering. 2023 ; 276 1-19.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1016/j.oceaneng.2023.114235 -
Vancouver
Bisinotto GA, Sparano JV, Simos AN, Cozman FG, Ferreira MDA da S, Tannuri EA. Sea state estimation based on the motion data of a moored FPSO using neural networks: an evaluation with multiple draft conditions [Internet]. Ocean engineering. 2023 ; 276 1-19.[citado 2025 dez. 30 ] Available from: https://doi.org/10.1016/j.oceaneng.2023.114235 - Motion-based wave inference with neural networks: transfer learning from numerical simulation to experimental data
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- Motion-based wave estimation: Small-scale tests with a crane-barge model
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- Aplicação de CFD para cálculo de coeficientes hidro/aerodinâmicos de comboios fluviais
- Wave monitoring system based on the motions of station-keeping vessels with deep learning
Informações sobre o DOI: 10.1016/j.oceaneng.2023.114235 (Fonte: oaDOI API)
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