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- W3035035655 abstract "Stochastic subspace identification uses the frequency stability graph as the judgment standard of recognition results, and the introduction of clustering algorithm makes the automatic recognition of stability graph possible. At present, the clustering algorithm generally has subjective input parameter selection, complex algorithm theory and human intervention. The characteristic of stability chart is that the physical mode density is large, while the false mode density is small. DBSCAN clustering is a density based clustering algorithm, which can identify any shape of the class. According to the characteristics of the stability diagram, this paper proposes an automated operational modal analysis algorithm based on DBSCAN clustering, which is applied to the benchmark model of Z24 bridge in Switzerland. The results show that the method is feasible in the automated operational modal analysis of bridge structures." @default.
- W3035035655 created "2020-06-19" @default.
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- W3035035655 date "2020-01-01" @default.
- W3035035655 modified "2023-09-26" @default.
- W3035035655 title "Automated Operational Modal Analysis Based on DBSCAN Clustering" @default.
- W3035035655 doi "https://doi.org/10.1109/icitbs49701.2020.00190" @default.
- W3035035655 hasPublicationYear "2020" @default.
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