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<dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:invenio="http://invenio-software.org/elements/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><dc:identifier>doi:10.21611/qirt.2016.087</dc:identifier><dc:language>eng</dc:language><dc:creator>Castelo, A.</dc:creator><dc:creator>Mendioroz, A.</dc:creator><dc:creator>Celorrio, R.</dc:creator><dc:creator>Salazar, A.</dc:creator><dc:title>Optimization of Total Variation regularization to improve the accuracy of the characterization of vertical cracks by lock-in vibrothermography</dc:title><dc:identifier>ART-2016-106080</dc:identifier><dc:description>We use lock-in vibrothermography to characterize vertical cracks. In the presence of ultrasounds, the rubbing of the crack faces produces heat which induces a temperature rise at the surface that is measured with an infrared camera. We fit data obtained by modulating the amplitude of the ultrasounds at several modulation frequencies. The inverse problem consisting of finding the geometry and location of the heat source from vibrothermography data is ill-posed, which makes it necessary to stabilize the inversion algorithm. We analyze the effect of the stabilizing term on the accuracy of the reconstructions.</dc:description><dc:date>2016</dc:date><dc:source>http://zaguan.unizar.es/record/70624</dc:source><dc:doi>10.21611/qirt.2016.087</dc:doi><dc:identifier>http://zaguan.unizar.es/record/70624</dc:identifier><dc:identifier>oai:zaguan.unizar.es:70624</dc:identifier><dc:relation>info:eu-repo/grantAgreement/ES/MINECO/MAT2011-23811</dc:relation><dc:identifier.citation>13TH QUANTITATIVE INFRARED THERMOGRAPHY CONFERENCE (2016), 572-573</dc:identifier.citation><dc:rights>by-nc-nd</dc:rights><dc:rights>http://creativecommons.org/licenses/by-nc-nd/3.0/es/</dc:rights><dc:rights>info:eu-repo/semantics/openAccess</dc:rights></dc:dc>

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