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毕业院校:大连理工大学

学位:博士

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Single point mooring system modal parameter identification based on empirical mode decomposition and time-varying autoregressive model

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发布时间:2019-03-09

论文类型:期刊论文

发表时间:2015-10-01

发表刊物:APPLIED OCEAN RESEARCH

收录刊物:Scopus、EI、SCIE

卷号:53

页面范围:250-256

ISSN号:0141-1187

关键字:Modal parameter; Time-varying system; Single point mooring; Empirical mode decomposition; Time-varying autoregressive

摘要:A method based on empirical mode decomposition (EMD) and time-varying autoregressive (WAR) model is proposed here to identify the modal parameters of time-varying systems, such as the Floating Production Storage and Offloading (FPSO) single point mooring system. For the EMD-TVAR method, the original signal is decomposed into a finite number of 'intrinsic mode functions' (IMFs) by the EMD. Each IMF can be represented as a WAR model. Then, the time-varying modal parameters i.e., instantaneous frequency(IF) and modal dumping, can be obtained by the basis functions expansion method. The proposed EMD-TVAR method has good results in two experiments compared with the Huang-Hilbert transformation and Short Time Fourier Transform method, and it has been used to analysis the modal parameters of FPSO single point mooring system successfully. The system's time-varying characteristic and its frequency distribution can be known from the modal analysis results. (C) 2015 Elsevier Ltd. All rights reserved.

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