This paper is based on the continuous wavelet transform to achieve modal parameter identification of the response signal of a wing under environmental excitation. Suitable wavelet basis functions are selected for the characteristics of flutter data to achieve a good time-frequency analysis of flutter data. And the endpoint effect is effectively suppressed by the predictive extension method of support vector machine. The identification of wavelet ridges and the wavelet cross-section are obtained through a crazy creep algorithm to achieve the identification of modal damping in the chattering data. Finally, the method is applied to the wind tunnel test data of a 3d-printed wing to identify its modal parameters, and is compared with its numerical simulation data to verify the reliability of CWT applied to the identification of modal parameters of wing flutter data under environmental excitation.
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