| Autor(es): |
Bisinotto, Gustavo A.
;
De Mello, Pedro C.
;
Cozman, Fabio G.
;
Tannuri, Eduardo A.
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF ASME 2023 42ND INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE & ARCTIC ENGINEERING, OMAE2023, VOL 1; v. N/A, p. 10-pg., 2023-01-01. |
| Resumo | |
The directional wave spectrum, which describes the distribution of wave energy along frequencies and directions, can be estimated from the measured motions of a vessel subjected to a particular sea condition by resorting to the wave-buoy analogy. Several methods have been proposed to address the inverse estimation problem; recently, machine learning techniques have been assessed as further alternatives. However, it may be difficult to gather large datasets of in-service motion responses and the associated sea states to train effective data-driven models. In this work, an encoder-decoder neural network is trained with the synthetic responses of a station-keeping platform supply vessel (PSV) to estimate the directional wave spectrum. This estimation model is directly applied to perform wave inference from motion data of wave basin tests with a small-scale model of the same vessel. Furthermore, fine-tuning is also used to incorporate experimental data into the neural network model. Results show a satisfactory match between estimated and measured values, both with respect to the energy distribution and the integral spectrum parameters, indicating that the proposed approach can be employed to obtain data-driven wave inference models when there is little or no availability of measured motion records and the corresponding sea conditions. (AU) | |
| Processo FAPESP: | 19/07665-4 - Centro de Inteligência Artificial |
| Beneficiário: | Fabio Gagliardi Cozman |
| Modalidade de apoio: | Auxílio à Pesquisa - Programa eScience e Data Science - Centros de Pesquisa Aplicada |
| Processo FAPESP: | 21/00409-2 - Desenvolvimento de um sistema de monitoramento ambiental a partir de medições on-board de movimentos de embarcação com técnicas de aprendizado de máquina |
| Beneficiário: | Gustavo Alencar Bisinotto |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |