Modal parameters identification based on denoising MIMO signals
Bao, Xing-Xian1; Xiong, Cong-Bo2; Li, Cui-Lin3; Tian, Yu-Qin4
刊名Zhendong yu Chongji/Journal of Vibration and Shock
2015
卷号34期号:19页码:157-162 and 202
关键词Approximation theory Composite beams and girders Impulse response Matrix algebra MIMO systems Modal analysis Parameter estimation
ISSN号10003835
DOI10.13465/j.cnki.jvs.2015.19.025
英文摘要A modal identification scheme based on denoising MIMO signals was proposed here. With this scheme, the measured MIMO impulse response data were firstly used to construct a block-Hankel matrix, and the rank of the matrix was determined based on the model order indicator, then the structured low rank approximation (SLRA) method was implemented to achieve the denoised data. Finally, the modal parameters were estimated by using the PRCE method from the denoised MIMO signals. The effectiveness of the proposed scheme was verified with numerical examples and model test results. ©, 2015, Chinese Vibration Engineering Society. All right reserved.
语种中文
出版者Chinese Vibration Engineering Society
内容类型期刊论文
源URL[http://ir.fio.com.cn/handle/2SI8HI0U/6680]  
专题业务部门_海洋工程环境与测绘研究中心
作者单位1.School of Petroleum Engineering, China University of Petroleum (East China), Qingdao; 266580, China;;
2.The First Institute of Oceanography, State Oceanic Administration, Qingdao; 266061, China;;
3.CAS Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao; 266071, China;;
4.School of Commumications and Ship Engineering, Qingdao Huanghai University, Qingdao; 266427, China
推荐引用方式
GB/T 7714
Bao, Xing-Xian,Xiong, Cong-Bo,Li, Cui-Lin,et al. Modal parameters identification based on denoising MIMO signals[J]. Zhendong yu Chongji/Journal of Vibration and Shock,2015,34(19):157-162 and 202.
APA Bao, Xing-Xian,Xiong, Cong-Bo,Li, Cui-Lin,&Tian, Yu-Qin.(2015).Modal parameters identification based on denoising MIMO signals.Zhendong yu Chongji/Journal of Vibration and Shock,34(19),157-162 and 202.
MLA Bao, Xing-Xian,et al."Modal parameters identification based on denoising MIMO signals".Zhendong yu Chongji/Journal of Vibration and Shock 34.19(2015):157-162 and 202.
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