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Experimental modal analysis using blind source separation techniques
Poncelet, Fabien; Kerschen, Gaëtan; Golinval, Jean-Claude
2006In International Conference on Noise and Vibration Engineering, Leuven, 2006
 

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Keywords :
proper orthogonal decomposition; Hilbert-Huang transform; Structural system identification; modal analysis
Abstract :
[en] Recently, statistical and empirical signal processing techniques such as the proper orthogonal decomposition and the Hilbert-Huang transform have shown promise for structural system identification. In the present study, experimental modal analysis is carried out by employing blind source separation techniques and by interpreting the response of a mechanical system as a static mixture of sources. Specifically, it is shown under which circumstances the normal coordinates of the vibration modes may be interpreted as virtual sources. The advantages and limitations of the proposed method will be discussed, and the procedure will be demonstrated using numerical applications.
Disciplines :
Physics
Aerospace & aeronautics engineering
Mechanical engineering
Mathematics
Author, co-author :
Poncelet, Fabien ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Kerschen, Gaëtan  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Golinval, Jean-Claude  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > LTAS - Vibrations et identification des structures
Language :
English
Title :
Experimental modal analysis using blind source separation techniques
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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