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NullSpace and AutoRegressive damage detection: a comparative study

dc.contributor.authorZugasti Uriguen, Ekhi
dc.contributor.authorGómez González, Ana
dc.contributor.authorAnduaga, Javier
dc.contributor.authorArregui, Miguel Angel
dc.contributor.authorMartínez, Fernando
dc.date.accessioned2024-11-20T14:02:25Z
dc.date.available2024-11-20T14:02:25Z
dc.date.issued2012-07-16
dc.identifier.citationSmart Material Structures 21(8) : (2012) // Article ID 085010es_ES
dc.identifier.issn0964-1726
dc.identifier.issn1361-665X
dc.identifier.urihttp://hdl.handle.net/10810/70491
dc.description.abstractIn this paper we present the application of two damage detection methods to a laboratory tower. The first method is based on subspace identification. The second one is based on AutoRegressive modeling of the signals involved. Both methods are tested in a tower demonstrator simulating a wind turbine. They are able to correctly detect damage in the structure that is simulated by loosening some of the bolts in the joints. The results show that the first method is computationally more efficient, but the results are more stable with the second method.es_ES
dc.description.sponsorshipThe second author (A Gómez González) is supported by the Spanish Ministry of Education through Grant Number AP2008-01243.es_ES
dc.language.isoenges_ES
dc.publisherIOP Sciencees_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectStructural Health Monitoringes_ES
dc.subjectSHMes_ES
dc.subjectPrognostic Health Managementes_ES
dc.subjectPHMes_ES
dc.subjectCondition Monitoringes_ES
dc.titleNullSpace and AutoRegressive damage detection: a comparative studyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2012 IOP Publishing Ltdes_ES
dc.relation.publisherversionhttps://doi.org/10.1088/0964-1726/21/8/085010es_ES
dc.identifier.doi10.1088/0964-1726/21/8/085010
dc.departamentoesTecnología electrónicaes_ES
dc.departamentoeuTeknologia elektronikoaes_ES


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