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- W4313287589 abstract "In order to realize the simple application of stochastic subspace identification in the modal analysis of bridge structures under ambient excitation, the data preprocessing theory is used to process the original vibration signal, and restore the most real data under the actual situation. At the same time, the data-driven stochastic subspace method (Data-SSI) is used to identify the preprocessed data, and the singular value result graph with obvious jump points is obtained, which makes it easy to determine the order of the system clearly. The results show that, after pre-processing the original data, the order of the system can be determined conveniently by using the Data-SSI method, and the results obtained are reliable." @default.
- W4313287589 created "2023-01-06" @default.
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- W4313287589 date "2022-12-13" @default.
- W4313287589 modified "2023-09-25" @default.
- W4313287589 title "Research on Stochastic Subspace Identification Based on Data Preprocessing Theory Under Ambient Excitation" @default.
- W4313287589 doi "https://doi.org/10.3233/atde220873" @default.
- W4313287589 hasPublicationYear "2022" @default.
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