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Frequency response function-based parameter identification from short data sequences
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DOI：10.1016/j.ymssp.2003.12.001.png)
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摘要
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In this paper two advanced frequency-domain estimators, the advanced least squares complex frequency estimator and the advanced maximum likelihood estimator will be presented to deal with short and noisy data records for applications in the field of modal analysis. This requires adapted frequency-domain estimators designed to handle large amount of data in a reasonable amount of time. The identification techniques proposed in this paper start from frequency response functions and take into account leakage and transient phenomena. Special attention is paid to reduce the computation time as well as the memory requirements. Finally, the proposed techniques are evaluated using both simulated and experimental data. Both simulations and measurements show that there is an improvement on the accuracy of the estimated models. (C) 2003 Elsevier Ltd. All rights reserved.
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IF:
8.9
论文数:
1.3W
被引数:
6.6W
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