dc.creatorKurka, PRG
dc.creatorBraun, S
dc.date2010
dc.dateAUG
dc.date2014-11-17T11:02:37Z
dc.date2015-11-26T16:42:23Z
dc.date2014-11-17T11:02:37Z
dc.date2015-11-26T16:42:23Z
dc.date.accessioned2018-03-28T23:26:55Z
dc.date.available2018-03-28T23:26:55Z
dc.identifierMechanical Systems And Signal Processing. Academic Press Ltd- Elsevier Science Ltd, v. 24, n. 6, n. 1634, n. 1645, 2010.
dc.identifier0888-3270
dc.identifierWOS:000279680400003
dc.identifier10.1016/j.ymssp.2010.03.001
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/79595
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/79595
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/79595
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1273254
dc.descriptionThe paper presents a time domain method to identify structural modal parameters by fitting a discrete multivariate space-time model into noise corrupted, input-output measurement data. The subspace identification scheme proposed is an important characteristic of the method, leading to a deterministic and statistically bias free estimation of parameters. The identification model in this scheme, is kept to the minimum description order, in spite of the presence of noise in the system's input and output The method is used to estimate natural frequencies, damping factors and mode shapes in an experimental modal analysis test. (c) 2010 Elsevier Ltd. All rights reserved.
dc.description24
dc.description6
dc.description1634
dc.description1645
dc.languageen
dc.publisherAcademic Press Ltd- Elsevier Science Ltd
dc.publisherLondon
dc.publisherInglaterra
dc.relationMechanical Systems And Signal Processing
dc.relationMech. Syst. Signal Proc.
dc.rightsfechado
dc.rightshttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dc.sourceWeb of Science
dc.subjectModal parameters identification
dc.subjectSubspace-based method
dc.subjectSignal processing
dc.subjectModels
dc.titleDirect multivariate subspace time identification
dc.typeArtículos de revistas


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