Structural modal parameter identification based on single channel blind source separation

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (11) : 252-261.

ZHEN Longxin， REN Liang， DONG Qiancheng

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Abstract

Aiming at the problem that the number of sensors was not less than the number of source signals in structural modal parameter identification based on traditional blind source separation algorithm，a structural modal parameter identification method based on single channel blind source separation was proposed，which could complete the structural modal parameter identification by using a single channel signal.Firstly，the synchronous extracting transform (SET) was used to analyze the time-frequency of the single channel observation signal to determine the value of the variable mode decomposition (VMD) parameters；Secondly，the observed signal was decomposed by VMD to form an intrinsic mode function (IMF)；Thirdly，the two IMF were linearly mixed to form a two-dimensional observation signal，and reconstructed with the original single-channel observation signal to form a three-dimensional observation signal. Each single-mode signal was separated by the source signal separation algorithm based on signal sparsity；Finally，the structural modal parameters were identified by single modal identification technology. Simulation and measured signal data show the effectiveness of the proposed method.

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single channel blind source separation / synchronous extraction transformation (SET) / variational modal decomposition (VMD) / signal sparsity / modal parameter identification

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ZHEN Longxin， REN Liang， DONG Qiancheng. Structural modal parameter identification based on single channel blind source separation[J]. Journal of Vibration and Shock, 2023, 42(11): 252-261

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