Modal Identification of Linear Time-varying Systems Using Continuous Wavelet Transform
Chang Xu, Cong Wang ,Jingbo Gao
(School of Astronautics, Harbin Institute of Technology, Harbin 150001, China)
Abstract:
A wavelet based identification method for linear time-varying systems is presented, and the ridge and skeleton of the continuous wavelet transform of free response is used to extract time-varying parameters. The stiffness and damping coefficients of single-degree-of—freedom systems, frequencies and damping ratios of multi-degree-of-freedom systems are estimated without any prior information of systems. The proposed method is applied to linear time-varying systems with both abrupt and smooth variation parameters. Gaussian white noise is added to the response to test the anti-noise performance of the algorithm. The simulation results show that the proposed method is capable of accurately tracking the variation of the systems.
Key words: time-varying systems identification wavelet transform ridge
DOI：10.11916/j.issn.1005-9113.2015.01.005
Clc Number:TB123
Fund:
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Modal Identification of Linear Time-varying Systems Using Continuous Wavelet Transform
本站小编 哈尔滨工业大学/2019-10-23
相关话题/Modal Identification Linear Time-varying Systems Using Continuous Wavelet
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