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dc.contributor.authorCantero Chinchilla, Sergio
dc.contributor.authorAranguren Aramendia, Gerardo
dc.contributor.authorRoyo, José Manuel
dc.contributor.authorChiachío, Manuel
dc.contributor.authorEchaniz Marañón, Josu ORCID
dc.contributor.authorCalvo Echenique, Andrea
dc.date.accessioned2021-02-10T11:56:28Z
dc.date.available2021-02-10T11:56:28Z
dc.date.issued2021-02-02
dc.identifier.citationSensors 21(3) : (2021) // Article ID 993es_ES
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10810/50132
dc.description.abstractThis paper proposes a new damage index named degree of health (DoH) to efficiently tackle structural damage monitoring in real-time. As a key contribution, the proposed index relies on a pattern matching methodology that measures the time-of-flight mismatch of sequential ultrasonic guided-wave measurements using fuzzy logic fundamentals. The ultrasonic signals are generated using the transmission beamforming technique with a phased-array of piezoelectric transducers. The acquisition is carried out by two phased-arrays to compare the influence of pulse-echo and pitch-catch modes in the damage assessment. The proposed monitoring approach is illustrated in a fatigue test of an aluminum sheet with an initial notch. As an additional novelty, the proposed pattern matching methodology uses the data stemming from the transmission beamforming technique for structural health monitoring. The results demonstrate the efficiency and robustness of the proposed framework in providing a qualitative and quantitative assessment for fatigue crack damage.es_ES
dc.description.sponsorshipThis paper is part of the SAFE-FLY project that has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 721455. In addition, this work has been supported by a continuous collaboration between Aernnova Engineering Division S.A. and the University of the Basque Country.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/721455es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/
dc.subjectstructural health monitoringes_ES
dc.subjectultrasonic guided-waveses_ES
dc.subjectfatigue damage detectiones_ES
dc.subjecttransmission beamforminges_ES
dc.subjectdegree of health indexes_ES
dc.titleStructural Health Monitoring Using Ultrasonic Guided-Waves and the Degree of Health Indexes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-02-05T14:13:40Z
dc.rights.holder2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/1424-8220/21/3/993/htmes_ES
dc.identifier.doi10.3390/s21030993
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería mecánica
dc.departamentoesTecnología electrónica
dc.departamentoeuIngeniaritza mekanikoa
dc.departamentoeuTeknologia elektronikoa


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2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).