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Experimental Validation of the Constant Level method for Identification of Nonlinear Multi Degree of Freedom Systems
Dimitriadis, Grigorios
2001In Starr, A. G.; Rao, R. B. K. N. (Eds.) Proceedings of the 14th International Congress on Condition Monitoring and Diagnostic Engineering Management
 

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Keywords :
Nonlinear systems; system identification; multi degree-of-freedom systems; bilinear stiffness; cubic stiffness; Condition Monitoring
Abstract :
[en] System identification methods for nonlinear dynamical systems could find uses in many applications such as condition monitoring, finite element model validation and stability determination. The effectiveness of existing nonlinear system identification techniques is limited by various factors such as the complexity of the system under investigation and the type of nonlinearities present. In this work, the Constant Level Identification approach, which can identify multi degree-of-freedom systems featuring any type of nonlinear function, including discontinuous functions, is validated experimentally. The method is shown to yield accurate identifications of an experimental dynamical system featuring two types of stiffness nonlinearity. The full equations of motion are accurately extracted, even in the presence of a discontinuous nonlinearity.
Disciplines :
Mechanical engineering
Author, co-author :
Dimitriadis, Grigorios ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Interactions Fluide-Structure - Aérodynamique expérimentale
Language :
English
Title :
Experimental Validation of the Constant Level method for Identification of Nonlinear Multi Degree of Freedom Systems
Publication date :
September 2001
Event name :
14th International Congress on Condition Monitoring and Diagnostic Engineering Management
Event organizer :
COMADEM International
Event place :
Manchester, United Kingdom
Event date :
du 4 eptembre 2001 au 6 septembre 2001
Audience :
International
Main work title :
Proceedings of the 14th International Congress on Condition Monitoring and Diagnostic Engineering Management
Editor :
Starr, A. G.
Rao, R. B. K. N.
Publisher :
Elsevier Science, Oxford, United Kingdom
ISBN/EAN :
0 08 0440363
Pages :
935-942
Available on ORBi :
since 30 September 2009

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