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Improving the performance of a stability monitoring system by adding wave encounter frequency estimation

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SantiagoCaamano_Lucia_2022_Improving-performance-stability-monitoring-system-adding-wave-encounter-frequency-estimation.pdf (1.070Mb)
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http://hdl.handle.net/2183/32707
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
A non ser que se indique outra cousa, a licenza do ítem descríbese como Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
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  • Investigación (EPEF) [590]
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Título
Improving the performance of a stability monitoring system by adding wave encounter frequency estimation
Autor(es)
Santiago Caamaño, Lucía
Míguez González, Marcos
Díaz Casás, Vicente
Data
2022-10
Cita bibliográfica
CAAMAÑO, L.S., GONZÁLEZ, M.M. y CASÁS, V.D., 2022. Improving the performance of a stability monitoring system by adding wave encounter frequency estimation. IFAC-PapersOnLine, vol. 55, no. 31, pp. 320-326. ISSN 2405-8963. DOI 10.1016/j.ifacol.2022.10.449. Disponible en: https://www.sciencedirect.com/science/article/pii/S2405896322024958.
Resumo
[Abstract]: Onboard guidance systems have emerged to improve the safety of fishing vessels providing the skipper with simplified stability information. In the last years, the authors have developed a stability monitoring system that automatically estimates the natural roll frequency of the vessel. Although the performance was acceptable, there were some specific situations where the influence of external excitations reduced the accuracy of the stability estimations. In this work, a methodology to automatically estimate the wave encounter frequency from ship motions is proposed. Then, this methodology is included in the stability monitoring system. Towing tank tests of a mid-sized stern trawler in different conditions have been used to analyse the improvements obtained with this approach.
Palabras chave
Estimation and filtering
Decision support systems in marine systems
Fishing vessels
Empirical mode decomposition
Generalized likelihood ratio test
Experimental validation
 
Versión do editor
https://doi.org/10.1016/j.ifacol.2022.10.449
Dereitos
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
ISSN
2405-8963

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