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A Neural Network Approach To Estimate Buoy Mooring Line Sensor Deflection, Tom Price
A Neural Network Approach To Estimate Buoy Mooring Line Sensor Deflection, Tom Price
Dissertations, Master's Theses and Master's Reports
Instrumented moorings are often used to measure characteristics, such as temperature and current, over the water column. However, the moorings deflect from the effects of currents and waves, which could lead to innacurate measurements. In this work, a computationally efficient method to compensate for mooring sensor position errors is developed. The two-step process first uses a hydrodynamic model of the buoy and mooring line system to create estimated mooring line deflections in a steady current. A neural network model is trained to approximate the hydrodynamic model’s mooring line displacement given the spatial location of the buoy and current profile measurements. …