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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)
Department机器人学研究室
Conference Name11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
Conference DateJune 18-20, 2014
Conference PlaceTaichung, Taiwan
Source PublicationIEEE International Conference on Control and Automation, ICCA
PublisherIEEE Computer Society
Publication PlaceWashington, DC
2014
Pages1292-1297
Indexed ByEI ; CPCI(ISTP)
EI Accession number20143518117282
WOS IDWOS:000346501200225
Contribution Rank1
ISSN1948-3449
ISBN978-1-4799-2837-8
KeywordAlgorithms Eigenvalues And Eigenfunctions Identification (Control Systems)
AbstractThis 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.
Language英语
Citation statistics
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15151
Collection机器人学研究室
Affiliation1.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
Recommended Citation
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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