Research,based on Daubechies wavelet multi-resolution analysis,was carried out to solve parameter identification problems in multiple degrees of freedom time-varying systems.In order to improve identification efficiency and accuracy,numerical experiments,based on the above method,were conducted to study the various factors that affect performance.The results show that when the basic function dbN was fixed in the preset decomposition scale,identification accuracy increased with an increase in the decomposition scale.The frequency component of the time-varying parameters had great influence on the choice of decomposition scale,and the fast time-varying parameters were more sensitive than the slow.The choice of the basic function dbN affects the identification accuracy,but is not a key factor; an increase in sampling rate can improve the identification accuracy of fast time-varying parameters under the same decomposition scale.