Application of Phase Decomposition to the Analysis of Random Time Series From Wave Basin Tests

T. Adcock, Xingya Feng, Tianning Tang, T. V. D. Bremer, S. Day, S. Dai, Ye Li, Zhiliang Lin, Wentao Xu, P. Taylor
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引用次数: 7

Abstract

Many ocean engineering problems involve bound harmonics which are slaved to some underlying assumed close to linear time series. When analyzing signals we often want to remove the bound harmonics so as to “linearise” the data or to extract individual bound harmonic components so that they may be studied. For even moderately broadbanded systems filtering in the frequency domain is not sufficient to separate components as they overlap in frequency. One way to overcome this difficulty is to use input signals with the same linear envelope but with different phases and then use simple addition and subtraction of the resulting signals to extract different harmonics. This approach has been established for the analysis of wave groups. In this paper we examine whether this approach can be used on random time series as well. We analyse random wave time series of wave elevation from the towing tank in Shanghai Jiao Tong University and force measurements on a cylinder taken in the Kelvin tank at the University of Strathclyde.
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相分解在波盆试验随机时间序列分析中的应用
许多海洋工程问题涉及约束谐波,这些约束谐波服从于一些潜在的接近线性时间序列的假设。在分析信号时,我们经常想要去除边界谐波,以便使数据“线性化”,或者提取单个边界谐波分量,以便对它们进行研究。即使是中等宽频带的系统,在频域中滤波也不足以分离出在频率上重叠的分量。克服这一困难的一种方法是使用具有相同线性包络但相位不同的输入信号,然后对结果信号进行简单的加法和减法来提取不同的谐波。这种方法是为分析波群而建立的。在本文中,我们研究了这种方法是否也可以用于随机时间序列。我们分析了上海交通大学拖曳水箱的波浪高程随机波时间序列和斯特拉斯克莱德大学开尔文水箱中圆柱体的力测量。
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