大连理工大学  登录  English 
岳前进
点赞:

教授   博士生导师   硕士生导师

性别: 男

毕业院校: 大连理工大学

学位: 博士

所在单位: 力学与航空航天学院

电子邮箱: yueqj@dlut.edu.cn

手机版

访问量:

开通时间: ..

最后更新时间: ..

当前位置: 中文主页 >> 科学研究 >> 论文成果
Single point mooring system modal parameter identification based on empirical mode decomposition and time-varying autoregressive model

点击次数:

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: SCIE、EI、Scopus

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.

辽ICP备05001357号 地址:中国·辽宁省大连市甘井子区凌工路2号 邮编:116024
版权所有:大连理工大学