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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/70841
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dc.contributor.authorBueno, Douglas Domingues-
dc.contributor.authorMarqui, Clayton Rodrigo-
dc.contributor.authorSantos, Rodrigo Borges-
dc.contributor.authorDa Silva, Samuel-
dc.contributor.authorJunior, Vicente Lopes-
dc.date.accessioned2014-05-27T11:23:49Z-
dc.date.accessioned2016-10-25T18:26:38Z-
dc.date.available2014-05-27T11:23:49Z-
dc.date.available2016-10-25T18:26:38Z-
dc.date.issued2008-12-01-
dc.identifierhttps://www.sem.org/Proceedings/ConferencePapers-Paper.cfm?ConfPapersPaperID=20025-
dc.identifier.citationConference Proceedings of the Society for Experimental Mechanics Series.-
dc.identifier.issn2191-5644-
dc.identifier.issn2191-5652-
dc.identifier.urihttp://hdl.handle.net/11449/70841-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/70841-
dc.description.abstractStructural Health Monitoring (SHM) denotes a system with the ability to detect and interpret adverse changes in structures in order to improve reliability and reduce life-cycle costs. The greatest challenge for designing a SHM system is knowing what changes to look for and how to classify them. Different approaches for SHM have been proposed for damage identification, each one with advantages and drawbacks. This paper presents a methodology for improvement in vibration signal analysis using statistics information involving the probability density. Generally, the presence of noises in input and output signals results in false alarms, then, it is important that the methodology can minimize this problem. In this paper, the proposed approach is experimentally tested in a flexible plate using a piezoelectric (PZT) actuator to provide the disturbance.en
dc.language.isoeng-
dc.sourceScopus-
dc.subjectDamage detection-
dc.subjectFalse alarms-
dc.subjectProbability density-
dc.subjectPZT actuator-
dc.subjectTime series-
dc.subjectDamage Identification-
dc.subjectDetection approach-
dc.subjectFlexible plates-
dc.subjectInput and outputs-
dc.subjectLifecycle costs-
dc.subjectProbability densities-
dc.subjectPZT-
dc.subjectVibration signal analysis-
dc.subjectActuators-
dc.subjectAlarm systems-
dc.subjectErrors-
dc.subjectExhibitions-
dc.subjectStructural dynamics-
dc.titleFalse alarms in damage detection approachesen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.contributor.institutionUniversidade Estadual de Campinas (UNICAMP)-
dc.description.affiliationGMSINT - Grupo de Materiais e Sistemas Inteligentes Department of Mechanical Engineering Faculdade de Engenharia de Ilha Solteira - UNESP, Av. Brasil 56, Ilha Solteira, SP, 15385000-
dc.description.affiliationDepartment of Mechanical Design Faculty of Mechanical Engineering State University of Campinas, Rua Mendeleiev, s/n, Cidade Universitária, 13083-970-
dc.description.affiliationUnespGMSINT - Grupo de Materiais e Sistemas Inteligentes Department of Mechanical Engineering Faculdade de Engenharia de Ilha Solteira - UNESP, Av. Brasil 56, Ilha Solteira, SP, 15385000-
dc.rights.accessRightsAcesso aberto-
dc.relation.ispartofConference Proceedings of the Society for Experimental Mechanics Series-
dc.identifier.scopus2-s2.0-84861556511-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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