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研究了基于Morlet小波的模态参数的识别方法。针对密集模态识别的问题,提出了通过引入带宽参数和中心频率两个变调节因子来调节Morlet小波的波形,提高了频域和时域的识别分辨率。使用MATLAB编程实现了算法的求解辨识过程,分析了所提算法中影响因子的作用。通过实例分析,对比了三自由度线性阻尼系统基于小波变换算法和基于频响函数算法的识别结果,验证了小波变换算法的正确性;通过圆盘实验实际测试数据的试验模态分析结果,充分验证了所提算法在密集模态识别中的有效性。
The recognition method of modal parameters based on Morlet wavelet is studied. Aiming at the problem of intensive modal identification, this paper proposes to adjust the Morlet wavelet waveform by introducing two variable adjustment factors: bandwidth parameter and center frequency, and improve the resolution in frequency and time domain. MATLAB programming is used to solve the identification process of the algorithm, and the effect of the influencing factors in the proposed algorithm is analyzed. Through the example analysis, the recognition results of the three degrees of freedom linear damping system based on the wavelet transform algorithm and the frequency response function algorithm are compared, and the correctness of the wavelet transform algorithm is verified. Based on the test modal analysis results of the actual test data of the disk experiment, The validity of the proposed algorithm in dense modal identification is verified.