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 |
| Summary: | 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. |
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