【摘要】 从卷积和Parseval定理的角度推导了小波变换系数的实用算法。以系统的自由响应数据为识别对象,给出了频率、阻尼比的参数识别方法,并重点给出了基于最小二乘法的振型识别技术。提出了基于改进Morlet小波的模态参数识别方法,对识别密集模态具有良好的效果。三自由度仿真算例表明,基于Morlet小波变换的模态参数识别技术能够以较高的精度识别出系统的频率、阻尼比和振型等模态参数。更多还原

【Abstract】 An Applicable computing approach for wavelet transformation coefficients is presented using both convolution and Parseval theorem.Identification technique of modal parameters of a system,such as,undamped natural frequencies,damping ratios and,especially,modal shapes based on least square is introduced using the system free response data.Modal parameter identification method based on modified Morlet wavelet is proposed,it is effective to systems with crowded modes.The simulation result of a 3 degrees of freedom system shows that the technique based on Morlet wavelet transformation can be applied to modal parameter identification with higher accuracy.更多还原