Data-driven modeling and regression analysis on ship resistance of in-service performance

This study employs operational data to model ship resistance, aiming to bridge the gap between controlled experiments and real-world conditions. It comprehensively analyzes wind, waves, and currents, employing nonlinear regression and z-score filtering. The model is validated using data from three i...

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Detalles Bibliográficos

Autores principales:	Daehyuk Kim, Shin Hyung Rhee
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Elsevier 2024-01-01
Colección:	International Journal of Naval Architecture and Ocean Engineering
Materias:	Ship resistance modeling Added resistance Ship operational data In-service performance Nonlinear regression Outlier filtering
Acceso en línea:	http://www.sciencedirect.com/science/article/pii/S2092678224000426
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