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RESPONSE-BASED ESTIMATION OF SEA STATE PARAMETERS

机译:基于响应的海况参数估计

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摘要

Reliable estimation of the on-site sea state parameters is essential to decision support systems for safe navigation of ships. The sea state parameters can be estimated by Bayesian Modelling which uses complex-valued frequency response functions (FRF) to estimate the wave spectrum on the basis of measured ship responses. It is therefore interesting to investigate how the filtering aspect, introduced by FRF, affects the final outcome of the estimation procedures. The paper contains a study based on numerical generated time series, and the study shows that filtering has an influence on the estimations, since high frequency components of the wave excitations are not estimated as accurately as lower frequency components. Moreover, the paper investigates how the final outcome of the Bayesian Modelling is influenced by the accuracy of the FRF. Thus, full-scale data is analysed by use of FRF calculated by a 3-D time domain code and by closed-form (analytical) expressions, respectively. Based on comparisons with wave radar measurements and satellite measurements it is seen that the wave estimations based on closed-form expressions exhibit a reasonable energy content, but the distribution of energy appears to be incorrect.
机译:可靠地估计现场海况参数对于船舶安全航行的决策支持系统至关重要。可以通过贝叶斯建模来估计海况参数,贝叶斯建模使用复值频率响应函数(FRF)根据测得的船舶响应来估计波谱。因此,有趣的是研究由FRF引入的滤波方面如何影响估计程序的最终结果。本文包含基于数值生成的时间序列的研究,并且研究表明滤波对估计有影响,因为波激励的高频分量没有像低频分量那样准确。此外,本文研究了贝叶斯建模的最终结果如何受到FRF准确性的影响。因此,分别使用3-D时域代码和闭式(解析)表达式计算的FRF来分析满量程数据。基于与波雷达测量和卫星测量的比较,可以看出基于闭式表达式的波估计显示出合理的能量含量,但能量分布似乎不正确。

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