Time-varying system identification using a newly improved HHT algorithm
| dc.contributor.author | Bao, C. | |
| dc.contributor.author | Hao, Hong | |
| dc.contributor.author | Li, Z. | |
| dc.contributor.author | Zhu, X. | |
| dc.date.accessioned | 2017-01-30T11:08:16Z | |
| dc.date.available | 2017-01-30T11:08:16Z | |
| dc.date.created | 2014-10-08T03:10:51Z | |
| dc.date.issued | 2009 | |
| dc.identifier.citation | Bao, C. and Hao, H. and Li, Z. and Zhu, X. 2009. Time-varying system identification using a newly improved HHT algorithm. Computers and Structures. 87: pp. 1611-1623. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/8708 | |
| dc.description.abstract |
A newly improved Hilbert-Huang transform (HHT) algorithm is presented for identification of time-varying systems and analysis of nonlinear structural response with closely spaced modes. In this improved HHT, the auto-correlation function of the structural response is taken as a substitute of input to reduce noise effect. A band-pass filter scheme and an effective intrinsic mode function (IMF) selection principle are combined to overcome the modal perturbation problem. Based on these, a time-varying system identification procedure is developed. Its robustness and effectiveness are verified by both numerically simulated and laboratory measured vibration data on a scaled concrete-steel composite beam model. | |
| dc.publisher | Elsevier Limited | |
| dc.title | Time-varying system identification using a newly improved HHT algorithm | |
| dc.type | Journal Article | |
| dcterms.source.volume | 87 | |
| dcterms.source.startPage | 1611 | |
| dcterms.source.endPage | 1623 | |
| dcterms.source.issn | 0045-7949 | |
| dcterms.source.title | Computers and Structures | |
| curtin.accessStatus | Fulltext not available |