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    Time-varying system identification using variational mode decomposition

    Access Status
    Fulltext not available
    Authors
    Ni, P.
    Li, Jun
    Hao, Hong
    Xia, Y.
    Wang, X.
    Lee, J.
    Jung, K.
    Date
    2018
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Ni, P. and Li, J. and Hao, H. and Xia, Y. and Wang, X. and Lee, J. and Jung, K. 2018. Time-varying system identification using variational mode decomposition. Structural Control and Health Monitoring. 25 (6): Article ID e2175.
    Source Title
    Structural Control and Health Monitoring
    DOI
    10.1002/stc.2175
    ISSN
    1545-2255
    School
    School of Civil and Mechanical Engineering (CME)
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/LP160100528
    URI
    http://hdl.handle.net/20.500.11937/67040
    Collection
    • Curtin Research Publications
    Abstract

    A new time-varying system identification approach is proposed in this paper by using variational mode decomposition. The newly developed variational mode decomposition technique can decompose the measured responses into a limited number of intrinsic mode functions, and the instantaneous frequencies of time-varying systems are identified by the Hilbert transform of each intrinsic mode function. Numerical and experimental verifications are conducted to demonstrate the effectiveness and accuracy of using the proposed approach for time-varying system identification, that is, to obtain the instantaneous frequency. Numerical studies on a structural system with time-varying stiffness are conducted. Experimental validations on analyzing the measured vibration data in the laboratory from a steel frame structure and a time-varying bridge-vehicle system are also conducted. The results from the presented technique are compared with those from empirical mode decomposition-based methods, which verify that the developed approach can identify the instantaneous frequencies with a better accuracy.

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