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

doi:10.1007/s10483-019-2547-9

Applied Mathematics and Mechanics (English Edition) ›› 2019, Vol. 40 ›› Issue (12): 1741-1758.doi: https://doi.org/10.1007/s10483-019-2547-9

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

Sha WEI, Shiqian CHEN, Zhike PENG, Xingjian DONG, Wenming ZHANG

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China

收稿日期:2019-05-01 修回日期:2019-07-02 出版日期:2019-12-03 发布日期:2019-11-20
通讯作者: Zhike PENG E-mail:z.peng@sjtu.edu.cn
基金资助:
Project supported by the National Natural Science Foundation of China (Nos. 11702170, 11320011, and 11802279) and the China Postdoctoral Science Foundation (No. 2016M601585)

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

Sha WEI, Shiqian CHEN, Zhike PENG, Xingjian DONG, Wenming ZHANG

State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai 200240, China

Received:2019-05-01 Revised:2019-07-02 Online:2019-12-03 Published:2019-11-20
Contact: Zhike PENG E-mail:z.peng@sjtu.edu.cn
Supported by:
Project supported by the National Natural Science Foundation of China (Nos. 11702170, 11320011, and 11802279) and the China Postdoctoral Science Foundation (No. 2016M601585)

摘要/Abstract

摘要： 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.

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

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

中图分类号:

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[J]. Applied Mathematics and Mechanics (English Edition), 2019, 40(12): 1741-1758.

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

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

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