Modal identification of multi-degree-of-freedom structures based on intrinsic chirp component decomposition method

doi:10.1007/s10483-019-2547-9

Abstract

Abstract: Modal parameter identification is a mature technology. However, there are some challenges in its practical applications such as the identification of vibration systems involving closely spaced modes and intensive noise contamination. This paper proposes a new time-frequency method based on intrinsic chirp component decomposition (ICCD) to address these issues. In this method, a redundant Fourier model is used to ameliorate border distortions and improve the accuracy of signal reconstruction. The effectiveness and accuracy of the proposed method are illustrated using three examples:a cantilever beam structure with intensive noise contamination or environmental interference, a fourdegree-of-freedom structure with two closely spaced modes, and an impact test on a cantilever rectangular plate. By comparison with the identification method based on the empirical wavelet transform (EWT), it is shown that the presented method is effective, even in a high-noise environment, and the dynamic characteristics of closely spaced modes are accurately determined.

Key words: modal identification, closely spaced mode, time-frequency domain, intrinsic chirp component decomposition (ICCD), multi-degree-of-freedom (MDOF) system

2010 MSC Number:

70J10

Sha WEI, Shiqian CHEN, Zhike PENG, Xingjian DONG, Wenming ZHANG. Modal identification of multi-degree-of-freedom structures based on intrinsic chirp component decomposition method. Applied Mathematics and Mechanics (English Edition), 2019, 40(12): 1741-1758.

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