A review of discriminating spurious modes in automaticmodal parametric identification

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (13) : 1-10.

Song Ming-liang,Su Liang, Dong Shi-lin,Luo Yao-zhi

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Abstract

The key point of autonomous modal parametric identification is automatically discriminating spurious modes from physical modes.Autonomous spurious modes elimination methodsofmodal parameter identification are reviewed. Focusing on how to automatically eliminate mathematicalmodes, the existing methodsare divided into three categories: automatic analysis of stabilization diagrams based on intelligence algorithm, study of new criteria to determine the physical modes and development of identification algorithms that candeliver clearer stabilization diagrams. Detailed and comprehensive presentation of the principles of the above three methods are given.What’s more, the characteristics, problems and future research directions of these methods are discussed. At last, combined with the measured acceleration data, representative automatic identification methodsare used to automatically discriminate the false modes of a reinforced concrete structure. The accuracy of the representative automatic identification methodswere compared.

Key words

modal parameter / autonomous identification / criteria / stabilization diagram / spurious mode / fuzzy clustering method

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Song Ming-liang,Su Liang, Dong Shi-lin,Luo Yao-zhi. A review of discriminating spurious modes in automaticmodal parametric identification[J]. Journal of Vibration and Shock, 2017, 36(13): 1-10

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