2014Applied Mechanics and MaterialsRequires access

Study on Global-Piecewise Fitting for Modal Parameter Identification

Feng Li Wang

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Abstract

Based on the global orthogonal polynomial algorithm, a global-piecewise fitting method for eliminating affections of modes outside of fitting bands is proposed. Both lower and higher modes outside of the fitting band are analyzed and processed. The frequency response data are revised by means of modes in two frequency bands close to the fitting band, and a curve fitting model is derived. Simulation results indicate that the proposed method possesses higher precision than the general rational fraction polynomial algorithm.

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What this paper is about

Based on the global orthogonal polynomial algorithm, a global-piecewise fitting method for eliminating affections of modes outside of fitting bands is proposed. Both lower and higher modes outside of the fitting band are analyzed and processed. The frequency response data are revised by means of modes in two frequency bands close to the fitting band, and a curve fitting model is derived. Simulation results indicate that the proposed method possesses higher precision than the general rational fraction polynomial algorithm.

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Available abstract

Based on the global orthogonal polynomial algorithm, a global-piecewise fitting method for eliminating affections of modes outside of fitting bands is proposed. Both lower and higher modes outside of the fitting band are analyzed and processed. The frequency response data are revised by means of modes in two frequency bands close to the fitting band, and a curve fitting model is derived. Simulation results indicate that the proposed method possesses higher precision than the general rational fraction polynomial algorithm.

Key concepts: Piecewise, Polynomial and rational function modeling, Curve fitting, Modal, Polynomial, Algorithm, Mathematics, Frequency band

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