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Nonlinear MDOF system characterization and identi cation using the Hilbert-Huang transform
Kerschen, Gaëtan; Vakakis, Alexander F.; Lee, Young.S et al.
2006In International Conference on Noise and Vibration Engineering, Leuven, 2006
 

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Keywords :
Hilbert-Huang transform; vibration; frequency components
Abstract :
[en] The Hilbert transform is one of the most successful approaches to tracking the varying nature of vibration of a large class of nonlinear systems thanks to the extraction of backbone curves from experimental data. Because signals with multiple frequency components do not admit a well-behaved Hilbert transform, it is inherently limited to the analysis of single-degree-of-freedom systems. In this study, the joint application of the complexification-averaging method and the empirical mode decomposition enables us to develop a new technique, the slow-flow model identification method. Through numerical and experimental applications, we demonstrate that the proposed method is adequate for characterizing and identifying multi-degree-offreedom nonlinear systems.
Disciplines :
Mechanical engineering
Aerospace & aeronautics engineering
Mathematics
Physics
Author, co-author :
Kerschen, Gaëtan  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Vakakis, Alexander F.;  National Technical University of Athens, Division of Mechanics, Greece
Lee, Young.S;  University of Illinois at Urbana-Champaign, Department of Aerospace Engineering, U.S.A.
McFarland, D. M.;  University of Illinois at Urbana-Champaign, Department of Aerospace Engineering, U.S.A.
Bergman, Lawrence A.;  University of Illinois at Urbana-Champaign, Department of Aerospace Engineering, U.S.A.
Language :
English
Title :
Nonlinear MDOF system characterization and identi cation using the Hilbert-Huang transform
Publication date :
2006
Event name :
International Conference on Noise and Vibration Engineering
Event place :
Leuven, Belgium
Audience :
International
Main work title :
International Conference on Noise and Vibration Engineering, Leuven, 2006
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