Application of phase decomposition to the analysis of random time series from wave basin tests

Conference Paper (2019)
Author(s)

Thomas A.A. Adcock (University of Oxford)

Xingya Feng (University of Oxford)

Tianning Tang (University of Oxford)

Ton S. Van Den Bremer (University of Oxford)

Sandy Day (University of Strathclyde)

Saishuai Dai (University of Strathclyde)

Ye Li (Shanghai Jiao Tong University)

Zhiliang Lin (Shanghai Jiao Tong University)

Wentao Xu (Shanghai Jiao Tong University)

Paul H. Taylor (University of Oxford)

Affiliation
External organisation
DOI related publication
https://doi.org/10.1115/OMAE2019-95172 Final published version
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Publication Year
2019
Language
English
Affiliation
External organisation
ISBN (electronic)
9780791858882
Event
ASME 2019 38th International Conference on Ocean, Offshore and Arctic Engineering, OMAE 2019 (2019-06-09 - 2019-06-14), Glasgow, United Kingdom
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157

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.