目的:通过研究证明激励信号的相位信息对同步激励模态分析的重要性:当各激励信号的相位信息非一致时,采用较少次数的时间平均即可实现对非激励-响应信号的滤除。创新点:通过对比采用一致相位激励信号和非一致相位激励信号下的频率响应函数,证明了当各激励信号的相位信息非一致时,采用较少次数的时间平均足以实现对非激励-响应信号的滤除。方法:基于非一致相位信号的同步激励模态分析法。结论:基于同步激励时间平均技术,通过对比采用一致相位激励信号和非一致相位激励信号下的频率响应函数,证明了当各激励信号的相位信息非一致时,采用较少次数的时间平均足以实现对非激励-响应信号的滤除。在仿真试验中,非同步信号成分的滤除效果提升了98.48%;模态分析试验中,滤除效果提升了95.22%。 Aims: To demonstrate the importance of the phase information of the excitation signal to the analysis of synchronous excitation modes: when the phase information of each excitation signal is not consistent, the non-excitation-response signal can be filtered out with less time average . Innovative point: By comparing the frequency response functions with the consistent phase excitation signal and the non-uniform phase excitation signal, it is proved that when the phase information of each excitation signal is not consistent, the time averaging with less number of times is enough to realize the non-excitation-response signal Filter out. Methods: Synchronous excitation modal analysis based on non-uniform phase signals. Conclusion: Based on the time-averaged technique of synchronous excitation, it is proved that the time averaging of less number of times is enough when the phase information of each excitation signal is non-uniform by comparing the frequency response functions with the uniform phase excitation signal and the non-uniform phase excitation signal Filtering of non-stimulus-response signals. In the simulation experiment, the filtering effect of the unsynchronized signal component is enhanced by 98.48%; in the modal analysis test, the filtering effect is improved by 95.22%.