Adaptive filter feature identification for structural health monitoring in an aeronautical panel

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dc.contributor.authorda Silva, Samuel
dc.contributor.authorGonsalez, Camila Gianini [UNESP]
dc.contributor.authorLopes, Vicente [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Estadual do Oeste do Paraná (UNIOESTE)
dc.date.accessioned2014-05-20T13:29:26Z
dc.date.available2014-05-20T13:29:26Z
dc.date.issued2011-09-01
dc.description.abstractThis article presents an approach to structural health monitoring (SHM) using adaptive filters. The experimental signals from different structural conditions provided by piezoelectric actuators/sensors bonded in the test structure are modeled by a discrete-time recursive least square (RLS) filter. The biggest advantage of using a RLS filter is the clear possibility to perform an online SHM procedure because the identification is also valid for nonstationary linear systems. An online damage-sensitive index feature is computed based on portions of the autoregressive coefficients normalized by the square root of the sum of the squares. The proposed method is then used in a laboratory test involving an aeronautical panel coupled with piezoelectric sensors/actuators (PZTs) in different positions. To test this hypothesis, the t-test is used to obtain the damage decision. The proposed algorithm was able to identify and localize damages in the structure. The article concludes by exploring the applicability and drawbacks of the method and proposes some implementation suggestions.en
dc.description.affiliationUniv Estadual Paulista UNESP, Dept Mech Engn, Grp Mat & Sistemas Inteligentes, BR-15385000 Ilha Solteira, SP, Brazil
dc.description.affiliationUniversidade Estadual do Oeste do Paraná (UNIOESTE) UNIOESTE, Ctr Engn & Ciencias Exatas, BR-85870900 Foz do Iguacu, PR, Brazil
dc.description.affiliationUnespUniv Estadual Paulista UNESP, Dept Mech Engn, Grp Mat & Sistemas Inteligentes, BR-15385000 Ilha Solteira, SP, Brazil
dc.description.sponsorshipFinanciadora de Estudos e Projetos (FINEP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.description.sponsorshipSETI/PR
dc.description.sponsorshipFundação Araucária de Apoio ao Desenvolvimento Científico e Tecnológico do Paraná (FAADCT/PR)
dc.description.sponsorshipIdFINEP: 2636/06
dc.description.sponsorshipIdFundação Araucaria: 15997/2010
dc.format.extent481-489
dc.identifierhttp://dx.doi.org/10.1177/1475921710379514
dc.identifier.citationStructural Health Monitoring-an International Journal. London: Sage Publications Ltd, v. 10, n. 5, p. 481-489, 2011.
dc.identifier.doi10.1177/1475921710379514
dc.identifier.issn1475-9217
dc.identifier.lattes1457178419328525
dc.identifier.urihttp://hdl.handle.net/11449/9930
dc.identifier.wosWOS:000294287000003
dc.language.isoeng
dc.publisherSage Publications Ltd
dc.relation.ispartofStructural Health Monitoring-an International Journal
dc.relation.ispartofjcr3.798
dc.relation.ispartofsjr0,849
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectstructural health monitoringen
dc.subjectsmart structuresen
dc.subjectRLS filteren
dc.subjectt-testen
dc.subjectonline damage detectionen
dc.titleAdaptive filter feature identification for structural health monitoring in an aeronautical panelen
dc.typeArtigo
dcterms.licensehttp://www.uk.sagepub.com/aboutus/openaccess.htm
dcterms.rightsHolderSage Publications Ltd
unesp.author.lattes1457178419328525
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

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Artigos - Engenharia Mecânica - FEIS