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- W2611846075 abstract "Modal analysis is a well-established method for analysis of linear dynamic structures, but its extension to non-linear structures has proven to be much more problematic. A number of viewpoints on non-linear modal analysis as well as a range of different non-linear system identification techniques have emerged in the past, each of which tries to preserve a subset of properties of the original linear theory. The objective of this paper is to discuss how the Hilbert-Huang transform can be used for detection and characterization of non-linearity, and to present an optimization framework which combines the Hilbert-Huang transform and complex non-linear modal analysis for quantification of the selected model. It is argued that the complex non-linear modes relate to the intrinsic mode functions through the reduced order model of slow-flow dynamics. The method is demonstrated on simulated data from a system with cubic non-linearity." @default.
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- W2611846075 date "2017-01-01" @default.
- W2611846075 modified "2023-09-23" @default.
- W2611846075 title "Non-linear System Identification Using the Hilbert-Huang Transform and Complex Non-linear Modal Analysis" @default.
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- W2611846075 doi "https://doi.org/10.1007/978-3-319-54404-5_8" @default.
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