Utilizing VMD and BiGRU to predict the short-term motion of buoys

Liu, Yingjie; Ning, Chunlin; Zhang, Qianran; Yuan, Guozheng; Li, Chao

doi:10.1016/j.oceaneng.2024.119237

Ocean Engineering

2024

DOI: 10.1016/j.oceaneng.2024.119237

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Utilizing VMD and BiGRU to predict the short-term motion of buoys

Yingjie Liu,

Chunlin Ning,

Qianran Zhang

et al.

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Cited by 2 publications

References 32 publications

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Nonstationary Control Parameter Prediction for Underwater Gliders Utilizing an Innovative Transformer-Based Model

Jing,

Ma,

et al. 2024

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As a new type of unmanned autonomous marine observation platform, underwater gliders (UGs) offer advantages such as low energy consumption and long operational ranges. However, during the gliding process, the complex marine environment often leads to abrupt changes in short-term control parameters, complicating the data and rendering them more challenging to predict. This typically poses difficulties in adjusting control parameters based on human experience, thereby significantly reducing UG control efficiency. To address this issue, this paper proposes a novel method termed DFFormer, aimed at enhancing the predictive accuracy of the rudder angles during UG motion. The proposed method integrates discrete wavelet transform (DWT) for rudder angle signal decomposition and employs a fast Fourier transform-based attention mechanism (FFT-Attention) to effectively capture and analyze its frequency- and time-domain characteristics. Notably, the method leverages a Transformer architecture to process the decomposed signals through multiple parallel pathways, substantially improving the capability to forecast the complex and variable control parameters of UGs. The effectiveness and practicality of the proposed method are demonstrated through actual sea trials. The experimental results indicate that the proposed method surpasses traditional approaches in terms of accuracy and computational efficiency, exhibiting superior performance in predicting UG control parameters and, to some extent, enhancing their heading-keeping ability.

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Nonstationary Control Parameter Prediction for Underwater Gliders Utilizing an Innovative Transformer-Based Model

Jing,

Ma,

et al. 2024

JMSE

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Calibration of Marine Pressure Sensors with a Combination of Temperature and Pressure: A Case Study of SBE 37-SM

Zhang,

Sun,

Bai

et al. 2024

JMSE

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Accurate pressure measurement is crucial for understanding ocean dynamics in marine research. However, pressure sensors based on strain measurement principles are significantly affected by temperature variations, impacting the accuracy of depth measurements. This study investigates the SBE37-SM sensor and presents an improved calibration method based on a constant-pressure, variable-temperature scheme that effectively addresses temperature-induced deviations in pressure measurement. Experiments were conducted across a pressure range of 2000 dbar to 6000 dbar and a temperature range of 2 °C to 35 °C, establishing a comprehensive pressure–temperature calibration grid. The results show that, at a pressure of 6000 dbar, temperature-induced variations in readings for brand new SBE37-SM sensors can reach up to 9 dbar, while, for used sensors, they exceed 12 dbar, following a U-shaped trend. After applying a polynomial regression model for calibration, these variations were reduced to within ±0.5 dbar, significantly reducing the measurement uncertainty of the sensors in complex marine environments. This method underscores the necessity of further optimizing the CTD system’s temperature compensation mechanism during calibration and highlights the importance of regular calibration to minimize measurement uncertainty.

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Utilizing VMD and BiGRU to predict the short-term motion of buoys

Cited by 2 publications

References 32 publications

Nonstationary Control Parameter Prediction for Underwater Gliders Utilizing an Innovative Transformer-Based Model

Nonstationary Control Parameter Prediction for Underwater Gliders Utilizing an Innovative Transformer-Based Model

Calibration of Marine Pressure Sensors with a Combination of Temperature and Pressure: A Case Study of SBE 37-SM

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