A mechanical vibration identification method for sub-Nyquist sampling based on ESPRIT-like algorithm

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	A mechanical vibration identification method for sub-Nyquist sampling based on ESPRIT-like algorithm
	Chen P(陈鹏); Liu SJ(刘双军); Cui L(崔龙); Li HY(李洪谊)
作者部门	机器人学研究室
会议名称	11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
会议日期	June 18-20, 2014
会议地点	Taichung, Taiwan
会议录名称	IEEE International Conference on Control and Automation, ICCA
出版者	IEEE Computer Society
出版地	Washington, DC
	2014
页码	1292-1297
收录类别	EI ; CPCI（ISTP）
EI收录号	20143518117282
WOS记录号	WOS:000346501200225
产权排序	1
ISSN号	1948-3449
ISBN号	978-1-4799-2837-8
关键词	Algorithms Eigenvalues And Eigenfunctions Identification (Control Systems)
摘要	This paper proposes a mechanical vibration identification method for sub-Nyquist sampling in theory, through the study on the ESPRIT algorithm. Then the method is improved for the problems encountered in the practical application: the big computational amount of solving generalized eigenvalues, the aggravation of ill-condition brought by correlation matrices, the big errors of attenuation coefficients. The improved identification method can be used to practically identify the sub-Nyquist sampling of mechanical vibrations. And the vibration signal identified can be recovered accurately. The validity of the method is verified through the simulation. © 2014 IEEE.
语种	英语
引用统计
文献类型	会议论文
条目标识符	http://ir.sia.cn/handle/173321/15151
专题	机器人学研究室
作者单位	1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.University of Chinese Academy of Sciences, Beijing, 100049, China
推荐引用方式 GB/T 7714	Chen P,Liu SJ,Cui L,et al. A mechanical vibration identification method for sub-Nyquist sampling based on ESPRIT-like algorithm[C]. Washington, DC:IEEE Computer Society,2014:1292-1297.

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