Modal identification method based on ESMD and MPM

Mingfeng Chen; Li Zhou

doi:10.1117/12.2611712

18 April 2022 Modal identification method based on ESMD and MPM

Mingfeng Chen, Li Zhou

Proceedings Volume 12047, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI; 120471B (2022) https://doi.org/10.1117/12.2611712
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States

Abstract

A new method of mode parameter identification based on Extreme-point Symmetric Mode Decomposition (ESMD) and Matrix Pencil Method (MPM) is proposed for processing wind tunnel test data.The proposed method first decomposes the test data to a series of narrow-band signals by band-pass filtering.Then, the ESMD method is used to perform modal decomposition to obtain several single-mode response signals.Next, each singlemode response signal is processed using Natural Excitation Technique(NExT) to obtain a free attenuation response signals.Finally, the mode parameters were identified by the MPM.After the verification of simulation data, the proposed method is applied to identifying the mode parameters of the wind tunnel test data, and the results are compared with the mode parameter identification results based on the empirical mode decomposition (Empirical Mode Decomposition, EMD). The results show that the proposed method can better identify the mode parameters of the structure from the wind tunnel test data with good applicability and sufficient identification accuracy.

Citation Download Citation

Mingfeng Chen and Li Zhou "Modal identification method based on ESMD and MPM", Proc. SPIE 12047, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XVI, 120471B (18 April 2022); https://doi.org/10.1117/12.2611712

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KEYWORDS

Signal processing

Signal attenuation

Wind measurement

Detection theory

Signal to noise ratio

Turbulence

Error analysis

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