Nonlinear MDOF system characterization and identification using the Hilbert-Huang transform: Experimental demonstration

Kerschen, G; Vakakis, AF; Lee, YS; McFarland, DM; Bergman, LA

dc.contributor.author	Kerschen, G	en
dc.contributor.author	Vakakis, AF	en
dc.contributor.author	Lee, YS	en
dc.contributor.author	McFarland, DM	en
dc.contributor.author	Bergman, LA	en
dc.date.accessioned	2014-03-01T02:51:08Z
dc.date.available	2014-03-01T02:51:08Z
dc.date.issued	2007	en
dc.identifier.issn	21915644	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35389
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84861552785&partnerID=40&md5=1f50ecab771baddad4cfcc7f843af0c4	en
dc.subject.other	Experimental application	en
dc.subject.other	Experimental data	en
dc.subject.other	Hilbert Huang transforms	en
dc.subject.other	Hilbert transform	en
dc.subject.other	Model identification	en
dc.subject.other	Multi degree-of-freedom	en
dc.subject.other	Multiple frequency	en
dc.subject.other	Single degree of freedom systems	en
dc.subject.other	System characterization	en
dc.subject.other	Structural dynamics	en
dc.subject.other	Nonlinear systems	en
dc.title	Nonlinear MDOF system characterization and identification using the Hilbert-Huang transform: Experimental demonstration	en
heal.type	conferenceItem	en
heal.publicationDate	2007	en
heal.abstract	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, this transform is inherently limited to the analysis of single-degree-of-freedom systems; this shortcoming is potentially overcome by the Hilbert-Huang transform (HHT). In this study, the joint application of the complexification-averaging method and the HHT enables us to develop a new technique, the slow-flow model identification method. Through an experimental application, we demonstrate that the proposed method is adequate for characterizing and identifying multi-degree-of-freedom nonlinear systems.	en
heal.journalName	Conference Proceedings of the Society for Experimental Mechanics Series	en