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dc.contributor.authorHAJRYA, Rafik
dc.contributor.author
 hal.structure.identifier
MECHBAL, Nazih
86289 Laboratoire Procédés et Ingénierie en Mécanique et Matériaux [PIMM]
dc.date.accessioned2014
dc.date.available2014
dc.date.issued2013
dc.date.submitted2014
dc.date.submitted2014
dc.identifier.issn1475-9217
dc.identifier.urihttp://hdl.handle.net/10985/8199
dc.description.abstractA fundamental problem in structural damage detection is to define an efficient feature to calculate a damage index. Furthermore, due to perturbations from various sources, we also need to define a rigorous threshold whose overtaking indicates the presence of damages. In this article, we develop a robust damage detection methodology based on principal component analysis. We first present an original damage index based on projection of the separation matrix, and then, we drive a novel adaptive threshold that does not rely on statistical assumptions. This threshold is analytic, and it is based on matrix perturbation theory. The efficiency of the method is illustrated using simulations of a composite smart structure and experimental results performed on a conformal load-bearing antenna structure laboratory test.
dc.language.isoen
dc.publisherSAGE Publications (UK and US)
dc.rightsPost-print
dc.subjectDamage detection
dc.subjectblind source separation
dc.subjectprincipal component analysis
dc.subjectinformation theory
dc.subjectangle between subspaces
dc.subjectmatrix perturbation theory
dc.subjectanalytic bound
dc.subjectrobustness
dc.subjectconformal load-bearing antenna structure
dc.subjecttemperature effect
dc.titlePrincipal component analysis and perturbation theory–based robust damage detection of multifunctional aircraft structure
dc.identifier.doi10.1177/1475921713481015
dc.typdocArticle dans une revue avec comité de lecture
dc.localisationCentre de Paris
dc.subject.halSciences de l'ingénieur: Mécanique
dc.subject.halSciences de l'ingénieur: Mécanique: Mécanique des structures
ensam.audienceInternationale
ensam.page263–277
ensam.journalStructural Health Monitoring
ensam.volume12(
ensam.issue3
hal.identifierhal-00997044
hal.version1
hal.statusaccept
dc.identifier.eissn1741-3168


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