Nonlinear MDOF system characterization and identi cation using the Hilbert-Huang transform
作者： Alexander F. Vakakis , Lawrence A. Bergman , D. M. McFarland , Gaëtan Kerschen , Young.S Lee
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摘要: The Hilbert transform is one of the most successful approaches to tracking varying nature vibration a large class nonlinear systems thanks extraction backbone curves from experimental data. Because signals with multiple frequency components do not admit well-behaved transform, it inherently limited analysis single-degree-of-freedom systems. In this study, joint application complexification-averaging method and empirical mode decomposition enables us develop new technique, slow-flow model identification method. Through numerical applications, we demonstrate that proposed adequate for characterizing identifying multi-degree-offreedom
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