期刊
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
卷 23, 期 2, 页码 261-273出版社
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2008.04.009
关键词
Modal analysis; System identification; Uncertainty bounds; Modal parameters
资金
- FWO Vlaanderen
- Institute for the Promotion of Innovation of Science and Technology in Flanders (IWT)
- Flemish Community
- Research Council (OZR)
- Vrije Universiteit Brussel (VUB)
- department of Industrial Sciences and Technology of the Erasmushogeschool Brussel (EhB)
The least-squares complex frequency-domain (LSCF) estimator-commercially known as the PolyMAX estimator-nowadays is used intensively in various modal analysis applications. The main advantages are the very clear stabilization diagrams and even more important, the speed. In this paper it is shown that confidence intervals of the modal parameter estimates can be derived without major additional calculations, if the frequency response functions are uncorrelated and noise information (e,g. the coherence function) is available. This approach is also applied to the iterative quadratic maximum likelihood (IQML) estimator, indicating strong analogies to the maximum likelihood (ML) estimator. The algorithm is evaluated by means of Monte Carlo simulations. (C) 2008 Elsevier Ltd. All rights reserved.
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