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Gaussian Process NARX Model for Damage Detection in Composite Aircraft Structures

dc.contributor.authorDa Silva, Samuel [UNESP]
dc.contributor.authorVillani, Luis G.G.
dc.contributor.authorRébillat, Marc
dc.contributor.authorMechbal, Nazih
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionUFES - Universidade Federal Do Espiríto Santo
dc.contributor.institutionCNAM
dc.date.accessioned2022-04-29T08:41:21Z
dc.date.available2022-04-29T08:41:21Z
dc.date.issued2022-02-01
dc.description.abstractThis article demonstrates the Gaussian process regression model's applicability combined with a nonlinear autoregressive exogenous (NARX) framework using experimental data measured with PZTs' patches bonded in a composite aeronautical structure for concerning a novel structural health monitoring (SHM) strategy. A stiffened carbon-epoxy plate regarding a healthy condition and simulated damage on the center of the bottom part of the stiffener is utilized. Comparing the performance in terms of simulation errors is made to observe if the identified models can represent and predict the waveform with confidence bounds considering the confounding effect produced by noise or possible temperature variations assuming a dataset preprocessed using principal component analysis. The results of the GP-NARX identified model have attested correct classification with a reduced number of false alarms, even with model uncertainties propagation regarding healthy and damaged conditions.en
dc.description.affiliationDepartamento de Engenharia Mecânica Faculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual Paulista, SP
dc.description.affiliationDepartamento de Engenharia Mecânica Centro Tecnológico UFES - Universidade Federal Do Espiríto Santo, Vitoría, Espiríto Santo
dc.description.affiliationPIMM Laboratory Arts et Métiers ENSAM CNRS CNAM
dc.description.affiliationUnespDepartamento de Engenharia Mecânica Faculdade de Engenharia de Ilha Solteira UNESP - Universidade Estadual Paulista, SP
dc.identifierhttp://dx.doi.org/10.1115/1.4052956
dc.identifier.citationJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, v. 5, n. 1, 2022.
dc.identifier.doi10.1115/1.4052956
dc.identifier.issn2572-3898
dc.identifier.issn2572-3901
dc.identifier.scopus2-s2.0-85127220967
dc.identifier.urihttp://hdl.handle.net/11449/230645
dc.language.isoeng
dc.relation.ispartofJournal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems
dc.sourceScopus
dc.subjectcomposite structures
dc.subjectdamage classification
dc.subjectdiagnostic decision support
dc.subjectdiagnostic feature extraction
dc.subjectGaussian process
dc.subjectguided wave propagation
dc.subjectNARX model
dc.subjectnonlinear damage
dc.subjectprognosis
dc.subjectpropagation of uncertainties
dc.subjectstiffener debonding
dc.subjectstructural engineering
dc.subjecttesting methodologies
dc.subjectwave propagation modeling
dc.titleGaussian Process NARX Model for Damage Detection in Composite Aircraft Structuresen
dc.typeArtigo
dspace.entity.typePublication
unesp.departmentEngenharia Mecânica - FEISpt

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