Abstract
A System Identification method to develop parametric models linking free surface elevation and wave pressure is presented and two models are built allowing for either wave pressure or free surface elevation simulation. Linear, time invariant model structures with static nonlinearities are assumed and solutions are sought in a form of autoregressive model with extra input (ARX). An arbitrary chosen free-surface elevation and wave pressure dataset is used for estimation of the models, which are subsequently verified against datasets with similar pressure gauge depth but different free-surface elevation spectra due to different meteorological conditions. It is shown that freesurface simulation using System Identification methods can perform better than traditional linear transfer function derived from linear wave theory (LTF), while wave pressure simulation quality using presented methods is generally similar to that obtained with corrected LTF. íµì¬ì©ì´: system identification, wind waves, free surface elevation, sea wave pressure, autoregressive model, ARX model, linear transfer function, wind wave spectrum, free surface records, pressure records, ìì¤í ìë³ë², íí, í´ìë©´, í´ì íì, ì기í기모í, ARX 모í, ì íì ì¡í¨ì, ííì¤íí¸ë¼, í´ìë©´ ìê³ì´ìë£, íì ìê³ì´ìë£
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