Abstract
Experimental modal analysis is widely used in many fields and many curve fitting techniques which estimate modal parameters have been developed. This paper presents a new multireference curve-fitting technique which is based on the maximum likelihood method. The proposed method utilizes the frequency response function (FRF) as input data and obtains modal parameters by iterative calculation. In this paper, initial values for the iteration are supposed to be obtained from the modal parameters estimated by the polyreference method. It turns out that modal parameters converge to the same value regardless of initial values. Therefore, the analyst can get rid of troublesome judgment on selecting physical roots in the polyreference method. The FRF constructed by the result of the proposed method agrees better with the experimental FRF than that by the polyreference method. Moreover, modal parameters estimated by the proposed method are more reliable from a statistical standpoint.
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