Publisher : The Korean Society of Mechanical Engineers
DOI : 10.22634/KSME-A.1922.214.171.1243
Title & Authors
Robust Modal Parameter Idnentification Using Total Least Square Method Jeong, Weui-Bong; Kim, Jun-Yeop; Kim, Hyun;
The least square estimation is used frequently in experimental modal analysis techinque to eliminate noise signals. However, identified modal parameters are sometimes inaccurate, since the least squre estimation is sensitive to noise. In this paper, a new total least squre estimation, which is robust to noise signals, is developed and applied to experimental modal analysis technique such as Prony method and Circle Fit method. Several simulated results show that the proposed method is robuster to noise than conventional method.
Total Least Square Method;Experimental Modal Analysis;Robustness;Identification;