文献类型：期刊文献

英文题名：An adaptive real-time ship roll motion prediction scheme based on two-stage multi-resolution decomposition

作者：Yin, Jianchuan[1,2]; Wang, Nini[3]; Shu, Yaqing[4]

机构：[1] Naval Architecture and Shipping College, Guangdong Ocean University, Zhanjiang, 524009, China; [2] Guangdong Provincial Engineering Research Center for Ship Intelligence and Safety, Zhanjiang, 524088, China; [3] College of Mathematics and Computer, Guangdong Ocean University, Zhanjiang, 524009, China; [4] Liverpool Logistics, Offshore and Marine [LOOM] Research Institute, Liverpool John Moores University, Liverpool, United Kingdom

年份：2025

卷号：325

外文期刊名：Ocean Engineering

收录：EI(收录号：20250917970205)、Scopus(收录号：2-s2.0-85218870679)

语种：英文

外文关键词：Discrete wavelet transforms - Marine safety - Prediction models - Variational mode decomposition - Wavelet decomposition

外文摘要：Real-time prediction of ship roll motion is crucial for enhancing marine safety and efficiency. To address the complex characteristics of ship roll dynamics, including nonlinearity, time-varying dynamics, and uncertainty induced by environmental disturbances and sailing conditions, an adaptive real-time ship roll neural prediction scheme is proposed based on a two-stage decomposition framework integrating empirical mode decomposition (EMD) and discrete wavelet transformation (DWT). The multi-resolution decomposition capabilities of EMD and DWT are combined with variable neural networks to achieve robust prediction performance. The decomposition order and the prediction model input order are adaptively determined based on EMD and Lipschitz quotients methods, respectively. The adaptability of the neural prediction scheme is enhanced with the network dimension, hidden units’ locations, and connecting parameters being real-time adjusted in a sequential learning mode. The two-stage EMD-DWT transformation and the parallel neural prediction strategies ensure the accuracy and stability of the prediction, and the sequential learning strategy of sliding data window enables fast processing speed and adaptability to time-varying dynamics. The feasibility and effectiveness of the proposed ship roll prediction scheme are validated through simulations based on the measured data of the real ship trial. ? 2025 Elsevier Ltd