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Structural Identification: From Theory to Industrial Testing

By Michèle Basseville, Albert Benveniste, Maurice Goursat, Luc Hermans, Laurnet Mevel and Herman Van Der Auweraer

Abstract

Practice 1 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. �DOI: 10.1115/1.1410919

Topics: Editor, S. Fassois
Year: 2011
DOI identifier: 10.1115/1.1410919
OAI identifier: oai:CiteSeerX.psu:10.1.1.193.6903
Provided by: CiteSeerX
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