A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention

A multi-dimensional data-driven ship roll prediction model based on VMD-PCA and IDBO-TCN-BiGRU-Attention

IntroductionThe motion of a ship at sea is complex. This motion is affected by environmental factors such as wind, waves, and currents. These factors cause the ship’s movement to be nonlinear, dynamic, and uncertain. Such complex motion can impact the ship’s performance and pose a safety risk. This...

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Bibliographic Details
Main Authors: Huifeng Wang, Jianchuan Yin, Nini Wang, Lijun Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Marine Science
Subjects:
ship rolling motion
multi-dimensional data-driven
principal component analysis
variational mode decomposition
temporal convolutional network
bidirectional gated recurrent unit
Online Access:https://www.frontiersin.org/articles/10.3389/fmars.2025.1547933/full
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https://www.frontiersin.org/articles/10.3389/fmars.2025.1547933/full

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