Structural Health Monitoring Based on AR Models and PZT Sensors

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorFed Inst Educ Sci & Technol Mato Grosso IFMT-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorOliveira, Mario Anderson de-
Autor(es): dc.creatorVieira Filho, Jozue [UNESP]-
Autor(es): dc.creatorIEEE-
Data de aceite: dc.date.accessioned2022-02-22T00:12:24Z-
Data de disponibilização: dc.date.available2022-02-22T00:12:24Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2012-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/197419-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/197419-
Descrição: dc.descriptionThis 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.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionMinistry of Education of Brazil-
Descrição: dc.descriptionConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG)-
Descrição: dc.descriptionFed Inst Educ Sci & Technol Mato Grosso IFMT, Dept Elect & Elect, Cuiaba, MT, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista UNESP, Dept Elect Engn, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista UNESP, Dept Elect Engn, Sao Paulo, Brazil-
Descrição: dc.descriptionMinistry of Education of Brazil: 23038.034330/2008-32-
Formato: dc.format684-687-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2012 Ieee Sensors Proceedings-
???dc.source???: dc.sourceWeb of Science-
Título: dc.titleStructural Health Monitoring Based on AR Models and PZT Sensors-
Aparece nas coleções:Repositório Institucional - Unesp

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