We address the problem of structural model identification during normal operating conditions and thus with uncontrolled, unmeasured, and nonstationary excitation. We advocate the use of output-only and covariance-driven subspace-based stochastic identification methods. We explain how to handle nonsimultaneously measured data from multiple sensor setups, and how robustness with respect to nonstationary excitation can be achieved. Experimental results obtained for three real application examples are shown.
Output-Only Subspace-Based Structural Identification: From Theory to Industrial Testing Practice1
Contributed by the Dynamic Systems and Control Division for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the Dynamic Systems and Control Division February 7, 2001. Associate Editor: S. Fassois.
- Views Icon Views
- Share Icon Share
- Cite Icon Cite
- Search Site
Basseville, M., Benveniste, A., Goursat, M., Hermans, L., Mevel, L., and Van der Auweraer, H. (February 7, 2001). "Output-Only Subspace-Based Structural Identification: From Theory to Industrial Testing Practice." ASME. J. Dyn. Sys., Meas., Control. December 2001; 123(4): 668–676. https://doi.org/10.1115/1.1410919
Download citation file:
- Ris (Zotero)
- Reference Manager