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.
Original language | English |
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Pages (from-to) | 1611-1623 |
Number of pages | 13 |
Journal | Computers and Structures |
Volume | 87 |
Issue number | 23-24 |
DOIs | |
Publication status | Published - 2009 |
Keywords
- Hilbert, Huang transform
- damage detection
- dynamic testing
- nonlinear response
- structural health monitoring
- time, varying systems
- vibration