Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks

Parametric Estimation of Directional Wave Spectra from Moored FPSO Motion Data Using Optimized Artificial Neural Networks

This paper introduces a comprehensive, data-driven framework for parametrically estimating directional ocean wave spectra from numerically simulated FPSO (Floating Production Storage and Offloading) vessel motions. Leveraging a mid-fidelity digital twin of a spread-moored FPSO vessel in the Guyana S...

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Bibliographic Details
Main Authors: Do-Soo Kwon, Sung-Jae Kim, Chungkuk Jin, MooHyun Kim
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Marine Science and Engineering
Subjects:
directional wave spectrum
inverse wave estimation
artificial neural network
machine learning
synthetic data
digital twin
Online Access:https://www.mdpi.com/2077-1312/13/1/69
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