Single point mooring system modal parameter identification based on empirical mode decomposition and time-varying autoregressive model
发表时间：2019-03-09
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- 论文类型：
- 期刊论文
- 第一作者：
- Tang, Da
- 通讯作者：
- Xu, CC (reprint author), Dalian Univ Technol, Comp Sci & Technol Coll, Dalian 116024, Peoples R China.
- 合写作者：
- Xu, Chuanchuan,Yue, Qianjin,Wu, Wenhua,Shi, Zhongmin,Feng, Jiaguo
- 发表时间：
- 2015-10-01
- 发表刊物：
- APPLIED OCEAN RESEARCH
- 收录刊物：
- SCIE、EI、Scopus
- 文献类型：
- J
- 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.
- 是否译文：
- 否
