Time-varying system identification using variational mode decomposition
dc.contributor.author | Ni, P. | |
dc.contributor.author | Li, Jun | |
dc.contributor.author | Hao, Hong | |
dc.contributor.author | Xia, Y. | |
dc.contributor.author | Wang, X. | |
dc.contributor.author | Lee, J. | |
dc.contributor.author | Jung, K. | |
dc.date.accessioned | 2018-05-18T07:57:03Z | |
dc.date.available | 2018-05-18T07:57:03Z | |
dc.date.created | 2018-05-18T00:23:03Z | |
dc.date.issued | 2018 | |
dc.identifier.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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/67040 | |
dc.identifier.doi | 10.1002/stc.2175 | |
dc.description.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. | |
dc.publisher | John Wiley & Sons Ltd. | |
dc.relation.uri | https://rss.onlinelibrary.wiley.com/doi/am-pdf/10.1002/stc.2175 | |
dc.relation.sponsoredby | http://purl.org/au-research/grants/arc/LP160100528 | |
dc.title | Time-varying system identification using variational mode decomposition | |
dc.type | Journal Article | |
dcterms.source.issn | 1545-2255 | |
dcterms.source.title | Structural Control and Health Monitoring | |
curtin.department | School of Civil and Mechanical Engineering (CME) | |
curtin.accessStatus | Open access via publisher |
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