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Use of the Morlet mother wavelet in the frequency-scale domain decomposition technique for the modal identification of ambient vibration responses

机译:Morlet母小波在频域分解技术中用于环境振动响应模态识别的应用

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摘要

The frequency-scale domain decomposition technique has recently been proposed for operational modal analysis. The technique is based on the Cauchy mother wavelet. In this paper, the approach is extended to the Morlet mother wavelet, which is very popular in sig-nal processing due to its superior time-frequency localization. Based on the regressive form and an appropriate norm of the Morlet mother wavelet, the continuous wavelet transform of the power spectral density of ambient responses enables modes in the frequency-scale domain to be highlighted. Analytical developments first demonstrate the link between modal parameters and the local maxima of the continuous wavelet transform modulus. The link formula is then used as the foundation of the proposed modal identification method. Its practical procedure, combined with the singular value decomposition algo-rithm, is presented step by step. The proposition is finally verified using numerical exam-ples and a laboratory test.
机译:最近已经提出了频率尺度域分解技术用于操作模态分析。该技术基于柯西母小波。在本文中,该方法被扩展到Morlet母小波,由于其优越的时频定位,该信号在信号处理中非常流行。基于Morlet母小波的回归形式和适当的范数,环境响应功率谱密度的连续小波变换可以突出显示频标域中的模式。分析发展首先证明了模态参数与连续小波变换模量的​​局部最大值之间的联系。然后将链接公式用作所提出的模态识别方法的基础。逐步介绍了其实用程序,并结合了奇异值分解算法。最后使用数字示例和实验室测试来验证该命题。

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