Automatic identification of modal parameters based on interval perturbation and double-layer fuzzy clustering

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (23) : 122-127.

QIN Xianrong, LIU Jiahui, YU Chuanqiang, WANG Yulong, ZHANG Qing, SUN Yuantao

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Abstract

The traditional stochastic subspace identification method is difficult to determine the reasonable order of system, the results of parametric identification are easy to be disturbed by environmental noise.The stability diagram method relying on subjective judgment can not automatically identify structural parameters.Here, aiming at above problems, interval perturbation and double-layer fuzzy clustering algorithm were proposed to identify modal parameters automatically based on stochastic subspace identification.A natural frequency identified of a high-order system was taken as the central frequency to do perturbation by ±2%, and natural frequencies identified within this perturbation interval were regarded as the same order frequency.Natural frequencies were automatically identified by combining with the stability diagram method.The double-layer fuzzy clustering algorithm was used to cluster damping ratios with larger discreteness, and damping ratios were automatically identified by combining with the stability diagram method.The results of modal parametric identification of engineering examples based on monitoring data of quay crane showed that the proposed method can effectively eliminate false modes, improve the efficiency of parametric identification, and achieve better automatic identification of natural frequencies and damping ratios.

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stochastic subspace method / stability diagram / interval perturbation / fuzzy clustering / parametric identification

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QIN Xianrong, LIU Jiahui, YU Chuanqiang, WANG Yulong, ZHANG Qing, SUN Yuantao. Automatic identification of modal parameters based on interval perturbation and double-layer fuzzy clustering[J]. Journal of Vibration and Shock, 2020, 39(23): 122-127

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