Time-varying system identification using a newly improved HHT algorithm
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 t...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier Limited
2009
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| Online Access: | http://hdl.handle.net/20.500.11937/8708 |
| _version_ | 1848745737232318464 |
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| author | Bao, C. Hao, Hong Li, Z. Zhu, X. |
| author_facet | Bao, C. Hao, Hong Li, Z. Zhu, X. |
| author_sort | Bao, C. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T06:22:07Z |
| format | Journal Article |
| id | curtin-20.500.11937-8708 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:22:07Z |
| publishDate | 2009 |
| publisher | Elsevier Limited |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-87082017-02-28T01:31:25Z Time-varying system identification using a newly improved HHT algorithm Bao, C. Hao, Hong Li, Z. Zhu, X. 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. 2009 Journal Article http://hdl.handle.net/20.500.11937/8708 Elsevier Limited restricted |
| spellingShingle | Bao, C. Hao, Hong Li, Z. Zhu, X. Time-varying system identification using a newly improved HHT algorithm |
| title | Time-varying system identification using a newly improved HHT algorithm |
| title_full | Time-varying system identification using a newly improved HHT algorithm |
| title_fullStr | Time-varying system identification using a newly improved HHT algorithm |
| title_full_unstemmed | Time-varying system identification using a newly improved HHT algorithm |
| title_short | Time-varying system identification using a newly improved HHT algorithm |
| title_sort | time-varying system identification using a newly improved hht algorithm |
| url | http://hdl.handle.net/20.500.11937/8708 |