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Wavelet transform-based modal parameter identification considering uncertainty

机译:考虑不确定性的基于小波变换的模态参数辨识

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This paper presents an integrated identification method to consider the uncertainty effect on modal parameters for output-only system. The method is based on the time-frequency characteristics of the wavelet transform (WT) and the capabilities of the bootstrap distribution in statistical estimation. For the WT-only based identification method, the important issues related to identification accuracy such as modal separation, end-effect, associated with the parameter selection of wavelet function based on Shannon entropy, are given detailed investigations. The bootstrap procedure is then employed to evaluate the uncertainty effects by providing confidence interval of the modal parameter statistically. The effectiveness of the integrated method has been confirmed through numerical simulation and experimental test on a bridge model. (c) 2005 Elsevier Ltd. All rights reserved.
机译:本文提出了一种综合识别方法,用于考虑不确定性对仅输出系统的模态参数的影响。该方法基于小波变换(WT)的时频特性和自举分布在统计估计中的能力。对于仅基于WT的识别方法,将详细研究与识别精度有关的重要问题,例如模态分离,最终效果以及与基于Shannon熵的小波函数的参数选择有关的问题。然后采用自举程序通过统计地提供模态参数的置信区间来评估不确定性影响。通过数值模拟和桥梁模型的实验测试,证实了该集成方法的有效性。 (c)2005 Elsevier Ltd.保留所有权利。

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