作者: Vaclav Ondra , Ibrahim A. Sever , Christoph W. Schwingshackl
DOI: 10.1007/978-3-319-54404-5_8
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摘要: Modal analysis is a well-established method for of linear dynamic structures, but its extension to non-linear structures has proven be much more problematic. A number viewpoints on modal as well range different system identification techniques have emerged in the past, each which tries preserve subset properties original theory. The objective this paper discuss how Hilbert-Huang transform can used detection and characterization non-linearity, present an optimization framework combines complex quantification selected model. It argued that modes relate intrinsic mode functions through reduced order model slow-flow dynamics. demonstrated simulated data from with cubic non-linearity.