A Method for Modal Parameter Identification of Time Varying Vibration Systems

Zi Ying Wu; Kun Shi

doi:10.4028/www.scientific.net/AMR.479-481.688

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 479-481A Method for Modal Parameter Identification of...

A Method for Modal Parameter Identification of Time Varying Vibration Systems

Abstract:

In this paper a new time varying multivariate Prony (TVM-Prony) method is put forward to identify modal parameters of time varying (TV) multiple-degree-of-freedom systems from measured vibration responses. The proposed method is based on the classical Prony method that is often used to identify modal parameters of linear time invariant systems. The main advantage of the propose approach is that it can analyze multi-dimensional nonstationary signals simultaneously. A modified recursive least square method based on the traditional one is presented to determine the TV coefficient matrices of the multivariate parametric model established in the proposed method. The efficiency and accuracy of the identification approach is demonstrated by a numerical example, in which a TV mass-string system with three-degree-of-freedom is investigated. Satisfied results are obtained.

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Periodical:

Advanced Materials Research (Volumes 479-481)

Pages:

688-693

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.479-481.688

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Online since:

February 2012

Authors:

Zi Ying Wu, Kun Shi

Keywords:

Modal Parameter Identification, Nonstationary Signal, Prony Method, Time Varying System

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References

[1] Z. Y. Shi and S. S. Law: Journal of Applied Mechanics, Vol. 74(2007), pp.223-230

Google Scholar

[2] C. Sodsri: PhD Thesis, The Pennsylvania State University (2003)

Google Scholar

[3] K. Triantafyllopoulos and G. P. Nason: Computational Statistics & Data Analysis, Vol. 52(2007), pp.1025-1046

Google Scholar

[4] N. F. George and D.F. Spilios: Journal of Dynamic Systems, Measurement and Control, Vol. 123(2001), pp.601-610

Google Scholar

[5] O. G. Rudenko and A. A. Bessonov: Cybernetics and Systems Analysis, Vol. 39(2003), pp.927-934

Google Scholar

[6] S. Z. Yang and Y. Wu: Time series analysis in engineering application, Hua Zhong University of Technology Press, Wu Han, China, (1989). (In Chinese)

Google Scholar

[7] J. P. Wu: Practical Time series analysis, Hunan Science and Technology Press, Chang Sha, China, 1989. (In Chinese)

Google Scholar

[8] C. S. Huang: Journal of Sound and Vibration, Vol. 241(2001), pp.337-359

Google Scholar