Results 11 to 20 of about 2,250,364 (348)
Machine Learning for Short-Term Prediction of Ship Motion Combined with Wave Input
Applied Sciences, 2023 There is a response relationship between wave and ship motion. Based on the LSTM neural network, the mapping relationship between the wave elevation and ship roll motion is established. The wave elevation and ship motion duration data obtained by the CFD
Ximin Tian, Yang Song
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Journal of Marine Science and Engineering, 2023 Under the influence of variable sea conditions, a ship will have an oscillating motion comprising six degrees of freedom, all of which are connected to each other.
Xiaoyu Geng, Yibing Li, Qian Sun
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A Review on Motion Prediction for Intelligent Ship Navigation
Journal of Marine Science and EngineeringIn recent years, as intelligent ship-navigation technology has advanced, the challenge of accurately modeling and predicting the dynamic environment and motion status of ships has emerged as a prominent area of research.
Daiyong Zhang +5 more
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IEEE Access, 2020 Shipborne stabilized platform is an important equipment to ensure the stability of shipborne equipment relative to inertial coordinate system. This paper presents a model predictive control strategy based on ship motion prediction (MPMPC) for ship ...
Hongbin Qiang +4 more
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A Data-Driven Method for Ship Motion Forecast
Journal of Marine Science and EngineeringAccurate forecasting of ship motion is of great significance for ensuring maritime operational safety and working efficiency. A data-driven ship motion forecast method is proposed in this paper, aiming at the problems of low generalization of a single ...
Zhiqiang Jiang, Yongyan Ma, Weijia Li
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Estimation of Sea State Parameters from Ship Motion Responses Using Attention-based Neural Networks [PDF]
Ocean Engineering, 2023 On-site estimation of sea state parameters is crucial for ship navigation systems' accuracy, stability, and efficiency. Extensive research has been conducted on model-based estimating methods utilizing only ship motion responses.
Denis Selimovic +3 more
semanticscholar +1 more source
Data-Driven System Identification of 6-DoF Ship Motion in Waves with Neural Networks [PDF]
Applied Ocean Research, 2021 Critical evaluation and understanding of ship responses in the ocean is important for not only the design and engineering of future platforms but also the operation and safety of those that are currently deployed. Simulations or experiments are typically
K. Silva, K. Maki
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A Novel Class-Imbalanced Ship Motion Data-Based Cross-Scale Model for Sea State Estimation
IEEE transactions on intelligent transportation systems (Print), 2023 Sea state estimation (SSE) is significant to the development of autonomous ships, which can enhance the sustainable development of maritime transportation.
Xue Cheng +6 more
semanticscholar +1 more source
Engineering Applications of Computational Fluid Mechanics, 2023 The motion response of a ship in a cross sea is studied based on computational fluid dynamics. Firstly, according to the established numerical pool, and based on the Reynolds-averaged Navier–Stokes equations and the re-normalisation group K–ϵ turbulence ...
Yu Lu +4 more
semanticscholar +1 more source
An Uncertainty-Aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses
IEEE Transactions on Industrial Informatics, 2022 Understanding current environmental conditions is essential for autonomous ships, among which real-time estimation of sea conditions is a key aspect. Considering the ship as a large wave buoy, the sea state can be estimated from motion responses without ...
Peihua Han +4 more
semanticscholar +1 more source