Natural frequency extraction from multiple frequency response sample sets using the fitting error

Abstract

We propose a method for selecting the most accurate natural frequency set from all of the natural frequency sets; extracted from multiple frequency response sample sets. The accuracy of the natural frequency set is estimated from the proposed fitting error. The method is applied to synthetic data, the Method of Moments (MM) data and measured data, and variations of the error of the natural frequencies and the fitting error show an agreement.