环境激励下基于信号降噪的模态参数识别研究

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振动与冲击 ›› 2014, Vol. 33 ›› Issue (21) : 67-72.

论文

环境激励下基于信号降噪的模态参数识别研究

包兴先

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Modal parameters identification based on noise reduction under ambient excitation

BAO Xing-xian

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摘要

提出一种环境激励下基于测试信号降噪的模态参数识别方法。该方法首先对测试的随机响应数据采用自然激励技术（NExT）获得互相关函数，进而基于结构矩阵低秩逼近（SLRA）方法得到降噪后的信号，最后通过复指数（Prony）方法识别结构的模态参数。数值算例和模型实验结果表明，该方法对测量信号有很好的降噪作用，识别精度高。

Abstract

responses, and then the Structured Low Rank Approximation (SLRA) method wasimplemented to achieve the filtered data. Finally the modal parameters are estimated by using complex exponentialmethod (Prony’s method) from the noise reduction signals. The effectiveness of the proposed method was verified byusing numerical and experimental studies.

导出引用

包兴先. 环境激励下基于信号降噪的模态参数识别研究[J]. 振动与冲击, 2014, 33(21): 67-72

BAO Xing-xian. Modal parameters identification based on noise reduction under ambient excitation [J]. Journal of Vibration and Shock, 2014, 33(21): 67-72