对结构响应信号进行连续复Morlet小波变换，根据小波系数的模极大值提取小波脊线，识别结构的瞬时频率；为降低噪音的影响，采用奇异值分解(SVD)方法进行降噪处理，建立了一种基于连续复小波变换识别时变系统

瞬时频率的方法。用一个具有时变刚度的弹簧质量系统的数值算例验证方法的有效性，随后设计了一个时变拉索

结构试验，分别对索施加线性和正弦变化的拉力，同时测试结构的冲击响应，运用提出的方法成功地识别了索的瞬时频率。数值与试验结果表明，提出的方法能有效地识别时变结构的瞬时频率，且识别方法具有一定的抗噪性。-On the structural response signal continuously Complex Morlet wavelet transform, the wavelet coefficients extracted wavelet modulus maxima ridge line, identify the structure of the instantaneous frequency　to reduce the effects of noise, using singular value decomposition (SVD) method for noise reduction, the establishment of A complex wavelet transform based on continuous time-varying systems instantaneous frequency identification method. With a time-varying stiffness spring-mass system numerical example effectiveness of the method, followed by the design of a time-varying cable structural testing, respectively Suoshi Jia linear and sinusoidal variation of tension, while the impulse response of the test structure, the use of the proposed method successfully identified the cable instantaneous frequency. Numerical and experimental results show that the proposed method can effectively identify the structure of time-varying instantaneous frequency, and the identification method has some n