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• W2999837570 abstract "In this study, the calculation process of extended Kalman filter is introduced and applied to structural parameter identification. Two linear time-invariant parameters of natural frequencies and damping ratios are identified by a linear single-degree-of-freedom structural numerical simulation, and the effects of different integral methods, different time steps and different Gauss noise levels of structural parameter detection results are discussed. The numerical simulations indicate that it is necessary to select the appropriate integral method to identify the structural damping ratio, estimation precision is increased as the time step decreases and Gauss noise has a significant influence to damping ratios identification while it has litter influence to natural frequencies detect." @default.
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• W2999837570 date "2019-10-01" @default.
• W2999837570 modified "2023-09-23" @default.
• W2999837570 title "Structural Parameters Identification Based on Extended Kalman Filter" @default.
• W2999837570 cites W2122512809 @default.
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• W2999837570 doi "https://doi.org/10.1109/aiam48774.2019.00118" @default.
• W2999837570 hasPublicationYear "2019" @default.
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