Structural Health Monitoring in Smart Structures Through Time Series Analysis

dc.creatorda Silva, S
dc.creatorDias, M
dc.creatorLopes, V
dc.date2008
dc.dateSEP
dc.date2014-11-19T16:21:31Z
dc.date2015-11-26T17:29:59Z
dc.date2014-11-19T16:21:31Z
dc.date2015-11-26T17:29:59Z
dc.date.accessioned2018-03-29T00:16:58Z
dc.date.available2018-03-29T00:16:58Z
dc.identifierStructural Health Monitoring-an International Journal. Sage Publications Ltd, v. 7, n. 3, n. 231, n. 244, 2008.
dc.identifier1475-9217
dc.identifierWOS:000260108700004
dc.identifier10.1177/1475921708090561
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/75461
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/75461
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/75461
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1285418
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionThis paper describes the application of a structural health monitoring technique based on electrical measurements obtained by piezoceramics (PZT) patches bonded in lightweight structures. The goal is to detect and locate imminent structural change occurrence with statistical confidence through a nondestructive evaluation test. Though the major focus in damage detection is given by monitoring electrical impedance in frequency-domain, the current research work applies a novel approach based on time-series. In such case, auto-regressive moving average with exogenous input (ARMAX) system identification models and statistical process control (SPC) charts are used for linear prediction to detect and locate damages. In order to compare the results, the classical damage metric chart obtained by frequency response from input-output data is described. The efficacy of the proposed approach is demonstrated through experimental tests.
dc.description7
dc.description3
dc.description231
dc.description244
dc.descriptionBIG Program/UNICAMP
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.languageen
dc.publisherSage Publications Ltd
dc.publisherLondon
dc.publisherInglaterra
dc.relationStructural Health Monitoring-an International Journal
dc.relationStruct. Health Monit.
dc.rightsfechado
dc.rightshttp://www.uk.sagepub.com/aboutus/openaccess.htm
dc.sourceWeb of Science
dc.subjectdamage detection
dc.subjectdamage metric
dc.subjectPZT patches
dc.subjectelectrical impedance
dc.subjectstatistical process control
dc.subjectDamage Detection
dc.subjectImpedance
dc.titleStructural Health Monitoring in Smart Structures Through Time Series Analysis
dc.typeArtículos de revistas


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