Structural Health Monitoring Based on AR Models and PZT Sensors

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dc.contributor.authorOliveira, Mario Anderson de
dc.contributor.authorVieira Filho, Jozue [UNESP]
dc.contributor.authorIEEE
dc.contributor.institutionFed Inst Educ Sci & Technol Mato Grosso IFMT
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2020-12-10T22:02:51Z
dc.date.available2020-12-10T22:02:51Z
dc.date.issued2012-01-01
dc.description.abstractThis paper presents a new approach for damage detection in Structural Health Monitoring (SHM) systems, which is based on the Electromechanical Impedance (EMI) principle and Autoregressive (AR) models. Typical applications of EMI in SHM are based on computing the Frequency Response Function (FRF). In this work the procedure is based on the EMI principle but the results are determined through the coefficients of AR models, which are computed from the time response of PZT transducers bonded to the monitored structure, and acting as actuator and sensors at the same time. The procedure is based on exciting the PZT transducers using a wide band chirp signal and getting its time response. The AR models are obtained in both healthy and damaged conditions and used to compute statistics indexes. Practical tests were carried out in an aluminum plate and the results have demonstrated the effectiveness of the proposed method.en
dc.description.affiliationFed Inst Educ Sci & Technol Mato Grosso IFMT, Dept Elect & Elect, Cuiaba, MT, Brazil
dc.description.affiliationUniv Estadual Paulista UNESP, Dept Elect Engn, Sao Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista UNESP, Dept Elect Engn, Sao Paulo, Brazil
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipMinistry of Education of Brazil
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.sponsorshipIdMinistry of Education of Brazil: 23038.034330/2008-32
dc.format.extent684-687
dc.identifier.citation2012 Ieee Sensors Proceedings. New York: Ieee, p. 684-687, 2012.
dc.identifier.issn1930-0395
dc.identifier.urihttp://hdl.handle.net/11449/197419
dc.identifier.wosWOS:000315671100167
dc.language.isoeng
dc.publisherIeee
dc.relation.ispartof2012 Ieee Sensors Proceedings
dc.sourceWeb of Science
dc.titleStructural Health Monitoring Based on AR Models and PZT Sensorsen
dc.typeTrabalho apresentado em evento
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee
unesp.author.orcid0000-0003-1274-5424[2]

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Artigos - Engenharia Elétrica - FEIS