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Locating nonlinearity in mechanical systems: A dynamic network perspective
Noël, Jean-Philippe; Schoukens, Maarten; Van den Hof, Paul
2019In Proceedings of the International Modal Analysis Conference (IMAC) XXXV
 

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Keywords :
Nonlinear structural dynamics; Nonlinear system identification; Nonlinearity location; Best linear approximation; Dynamic networks
Abstract :
[en] Though it is a crucial step for most identification methods in nonlinear structural dynamics, nonlinearity location is a sparsely addressed topic in the literature. In fact, locating nonlinearities in mechanical systems turns out to be a challenging problem when treated nonparametrically, that is, without fitting a model. The present contribution takes a new look at this problem by exploiting some recent developments in the identification of dynamic networks, originating from the systems and control community.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Noël, Jean-Philippe ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Schoukens, Maarten;  Technical University of Eindhoven
Van den Hof, Paul;  Technical University of Eindhoven
Language :
English
Title :
Locating nonlinearity in mechanical systems: A dynamic network perspective
Publication date :
2019
Event name :
International Modal Analysis Conference (IMAC) XXXVI
Event organizer :
Society for Experimental Mechanics (SEM)
Event place :
Orlando, United States - Florida
Event date :
du 12 février au 15 février 2018
Audience :
International
Main work title :
Proceedings of the International Modal Analysis Conference (IMAC) XXXV
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
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since 23 January 2018

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