... and shortening service lift. Real-time motion prediction of FOWT can assist the active servo/ballast control and provide early- warning information for operational mode. This paper proposes a deep learning framework based on the gate recurrent unit (GRU) to predict the pitch motion time series of a 5 MW semi...

... extreme short-term prediction tcn model prediction mre neuron number coefficient neural network motion prediction minimum mre time domain deep learning machine learning roll motion prediction parallel ship Proceedings of the Thirty-fifth (2025) International Ocean and Polar Engineering...

...-submersible FOWT platform, emphasizing hyperparameter optimization and noise robustness. The model leverages the high correlation between wave conditions (input) and platform motions (output). Optimized neuron layers and training algorithms enable reliable <10s motion prediction using 30s historical data...

... Model for Motion Prediction of Semi-submersible Using Wave- Excitation Inputs Yan Lia, Longfei Xiaoa,b, Mingyue Liua,b, Deyu Lia, KeLu Lia a State Key Laboratory of Ocean Engineering, Shanghai Jiao Tong University, Shanghai, China b SJTU-Sanya Yazhou Bay Institute of Deepsea Science and Technology...

... ABSTRACT The real-time motion prediction of semi-submersible platforms in the coming future seconds are of great importance, which can help to ensure the safety and efficiency of platform equipment operation. In this paper, a novel model based on neural expansion analysis for time series...

... ABSTRACT Real-time deterministic prediction of ship roll motion in the next few seconds is crucial in decision making to perform actions and sensitive activities. The difficulty in ship motion prediction is that ship motion has non-linear and non-stationary characteristics. Time series...

... performance than the classical approaches while their accuracy and variability are still controversial. Machine learning has been recently used for ship motion prediction motivated by the effort to apply machine learning to various hydrodynamic problems (Chen and Chen, 1993). Ferrandis et al. (2021...

... ship motion prediction. This study applies model uncertainty analysis and sensitivity analysis methods to evaluate the ship motion model's level of uncertainty against environmental disturbances and ship manoeuvres. Firstly, three models are created based on the a dynamical model (Mariner) in Marine...

... prediction exciting force viscous correction roll rao bruzzone bem result lateral motion element method frequency swath motion prediction roll response additional term catamaran hull friction coefficient contribution On the Roll Motion Prediction of High Speed Multi-hull...

... Abstract This paper presents a time-domain decision support system based on deterministic, non-linear wave forecast and motion prediction for short-term offshore operations. The system consists of three individual constituents: sea state registrations, non-linear wave forecast and motion...

... field. This paper describes the concept and shows results of a first field trial aboard an offshore support vessel in mild sea conditions. KEY WORDS: Real Time Vessel Motion Prediction; Radar; Wave Propagation; Wave Profile; WaMoS II; OWME; wave spectrum INTRODUCTION The Offshore industry employs many...

... ABSTRACT This paper examines the reduction of ship roll motions using azimuthing propellers. An existing ship motion prediction library has been augmented to include forces from azimuthing propellers. Experimental results from the open literature indicate that forces normal to the propeller...