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dc.contributor.authorAnaya, Maribel
dc.contributor.authorTibaduiza Burgos, Diego Alexander
dc.contributor.authorPozo Montero, Francesc
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Matemàtiques
dc.date.accessioned2015-12-17T12:45:53Z
dc.date.available2015-12-17T12:45:53Z
dc.date.issued2015-01-01
dc.identifier.citationAnaya, M., Tibaduiza, D.A., Pozo, F. A bioinspired methodology based on an artificial immune system for damage detection in structural health monitoring. "Shock and vibration", 01 Gener 2015.
dc.identifier.issn1070-9622
dc.identifier.urihttp://hdl.handle.net/2117/80868
dc.description.abstractAmong all the aspects that are linked to a structural health monitoring (SHM) system, algorithms, strategies, or methods for damage detection are currently playing an important role in improving the operational reliability of critical structures in several industrial sectors. This paper introduces a bioinspired strategy for the detection of structural changes using an artificial immune system (AIS) and a statistical data-driven modeling approach by means of a distributed piezoelectric active sensor network at different actuation phases. Damage detection and classification of structural changes using ultrasonic signals are traditionally performed using methods based on the time of flight. The approach followed in this paper is a data-based approach based on AIS, where sensor data fusion, feature extraction, and pattern recognition are evaluated. One of the key advantages of the proposed methodology is that the need to develop and validate a mathematical model is eliminated. The proposed methodology is applied, tested, and validated with data collected from two sections of an aircraft skin panel. The results show that the presented methodology is able to accurately detect damage.
dc.language.isoeng
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Materials i estructures::Càlcul d'estructures
dc.subject.lcshStructural engineering
dc.subject.otherSELECTION ALGORITHM
dc.subject.otherPATTERN-RECOGNITION
dc.subject.otherNETWORK
dc.titleA bioinspired methodology based on an artificial immune system for damage detection in structural health monitoring
dc.typeArticle
dc.subject.lemacDisseny d'estructures
dc.contributor.groupUniversitat Politècnica de Catalunya. CoDAlab - Control, Modelització, Identificació i Aplicacions
dc.identifier.doi10.1155/2015/648097
dc.relation.publisherversionhttp://www.hindawi.com/journals/sv/2015/648097/
dc.rights.accessOpen Access
drac.iddocument17239440
dc.description.versionPostprint (published version)
upcommons.citation.authorAnaya, M., Tibaduiza, D.A., Pozo, F.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameShock and vibration


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