Adaptive filter feature identification for structural health monitoring in aeronautical panel

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dc.contributor.authorDa Silva, Samuel
dc.contributor.authorGonsalez, Camila Gianini [UNESP]
dc.contributor.authorLopes Jr., Vicente [UNESP]
dc.contributor.institutionItaipu Technological Park (PTI)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-27T11:25:58Z
dc.date.available2014-05-27T11:25:58Z
dc.date.issued2011-08-15
dc.description.abstractThis paper presents an approach for structural health monitoring (SHM) by 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 to use a RLS filter is the clear possibility to perform an online SHM procedure since that the identification is also valid for non-stationary linear systems. An online damage-sensitive index feature is computed based on autoregressive (AR) portion of coefficients normalized by the square root of the sum of the square of them. The proposed method is then utilized in a laboratory test involving an aeronautical panel coupled with piezoelectric sensors/actuators (PZTs) in different positions. A hypothesis test employing the t-test is used to obtain the damage decision. The proposed algorithm was able to identify and localize the damages simulated in the structure. The results have shown the applicability and drawbacks the method and the paper concludes with suggestions to improve it. ©2010 Society for Experimental Mechanics Inc.en
dc.description.affiliationParaná Western State University (UNIOESTE) Centro de Engenharias e Ciências Exatas (CECE) Itaipu Technological Park (PTI), Av. Tancredo Neves, no. 6731, 85856-970, Foz do Iguaçu, PR
dc.description.affiliationUNESP-São Paulo State University Department of Mechanical Engineering Grupo de Materials e Sistemas Inteligentes, Av. Brasil, n.56, Centro, 15385-000, Ilha Solteira, SP
dc.description.affiliationUnespUNESP-São Paulo State University Department of Mechanical Engineering Grupo de Materials e Sistemas Inteligentes, Av. Brasil, n.56, Centro, 15385-000, Ilha Solteira, SP
dc.format.extent875-882
dc.identifierhttp://dx.doi.org/10.1007/978-1-4419-9834-7_78
dc.identifier.citationConference Proceedings of the Society for Experimental Mechanics Series, v. 3, n. PART 2, p. 875-882, 2011.
dc.identifier.doi10.1007/978-1-4419-9834-7_78
dc.identifier.issn2191-5644
dc.identifier.issn2191-5652
dc.identifier.lattes1457178419328525
dc.identifier.scopus2-s2.0-80051486146
dc.identifier.urihttp://hdl.handle.net/11449/72604
dc.language.isoeng
dc.relation.ispartofConference Proceedings of the Society for Experimental Mechanics Series
dc.relation.ispartofsjr0,232
dc.rights.accessRightsAcesso aberto
dc.sourceScopus
dc.subjectOnline damage detection
dc.subjectRLS filter
dc.subjectSmart structures
dc.subjectStructural health monitoring
dc.subjectT-test
dc.subjectAuto-regressive
dc.subjectDiscrete-time
dc.subjectFeature identification
dc.subjectHypothesis tests
dc.subjectLaboratory test
dc.subjectNonstationary
dc.subjectPiezoelectric sensors
dc.subjectRecursive least squares
dc.subjectSquare roots
dc.subjectStructural condition
dc.subjectStructural health
dc.subjectTest structure
dc.subjectAdaptive filtering
dc.subjectAdaptive filters
dc.subjectAerodynamics
dc.subjectAlgorithms
dc.subjectDamage detection
dc.subjectElectric filters
dc.subjectLinear systems
dc.subjectOnline systems
dc.subjectPiezoelectricity
dc.subjectStructural dynamics
dc.subjectTesting
dc.titleAdaptive filter feature identification for structural health monitoring in aeronautical panelen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.springer.com/open+access/authors+rights
unesp.author.lattes1457178419328525
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Engenharia, Ilha Solteirapt

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