Nonlinear features identified by Volterra series for damage detection in a buckled beam

dc.contributor.authorShiki, S. B. [UNESP]
dc.contributor.authorHansen, C. [UNESP]
dc.contributor.authorSilva, S. da [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.description.abstractThe present paper proposes a new index for damage detection based on nonlinear features extracted from prediction errors computed by multiple convolutions using the discrete-time Volterra series. A reference Volterra model is identified with data in the healthy condition and used for monitoring the system operating with linear or nonlinear behavior. When the system has some structural change, possibly associated with damage, the index metrics computed could give an alert to separate the linear and nonlinear contributions, besides provide a diagnostic about the structural state. To show the applicability of the method, an experimental test is performed using nonlinear vibration signals measured in a clamped buckled beam subject to different levels of force applied and with simulated damages through discontinuities inserted in the beam surface.en
dc.description.affiliationUnespUNESP - Univ Estadual Paulista, Faculdade de Engenharia de Ilha Solteira, Departamento de Engenharia Mecânica, Av. Brasil 56, 15385-000, Ilha Solteira, SP, Brasil.
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 2012/09135-3
dc.description.sponsorshipIdCNPq: 470582/2012-0
dc.description.sponsorshipIdFAPESP: 2012/04757-6
dc.description.sponsorshipIdFAPESP: 2013/09008-4
dc.identifier.citationCsndd 2014 - International Conference On Structural Nonlinear Dynamics And Diagnosis. Cedex A: E D P Sciences, v. 16, p. 1-4, 2014.
dc.publisherE D P Sciences
dc.relation.ispartofCsndd 2014 - International Conference On Structural Nonlinear Dynamics And Diagnosis
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.titleNonlinear features identified by Volterra series for damage detection in a buckled beamen
dc.typeTrabalho apresentado em evento
dcterms.rightsHolderE D P Sciences
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt


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