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dc.contributor.authorTejedor Noguerales, Javier 
dc.contributor.authorMacías Guarasa, Javier 
dc.contributor.authorFidalgo Martins, Hugo 
dc.contributor.authorMartín López, Sonia 
dc.contributor.authorGonzález Herráez, Miguel 
dc.date.accessioned2019-10-04T13:20:15Z
dc.date.available2019-10-04T13:20:15Z
dc.date.issued2019-04-02
dc.identifier.bibliographicCitationTejedor, J., Macias-Guarasa, J., Martins, H. F., Martín-López, S. & González-Herráez, M. 2019, "A Contextual GMM-HMM Smart Fiber Optic Surveillance System for Pipeline Integrity Threat Detection", JLT, vol. 37, no. 18, pp. 4514-4522.
dc.identifier.issn0733-8724
dc.identifier.urihttp://hdl.handle.net/10017/39513
dc.description.abstractThis paper presents a novel pipeline integrity surveillance system aimed to the detection and classification of threats in the vicinity of a long gas pipeline. The sensing system is based on phase-sensitive optical time domain reflectometry ( $\phi$ -OTDR) technology for signal acquisition and pattern recognition strategies for threat identification. The proposal incorporates contextual information at the feature level in a Gaussian Mixture Model-Hidden Markov Model (GMM-HMM)-based pattern classification system and applies a system combination strategy for acoustic trace decision. System combination relies on majority voting of the decisions given by the individual contextual information sources and the number of states used for HMM modelling. The system runs in two different modes: (1) machine+activity identification, which recognizes the activity being carried out by a certain machine, and (2) threat detection, aimed to detect threats no matter what the real activity being conducted is. In comparison with the previous systems based on the same rigorous experimental setup, the results show that the system combination from the contextual feature information and the GMM-HMM approach improves the results for both machine+activity identification (7.6% of relative improvement with respect to the best published result in the literature on this task) and threat detection (26.6% of relative improvement in the false alarm rate with 2.1% relative reduction in the threat detection rate).en
dc.description.sponsorshipEuropean Commissionen
dc.description.sponsorshipMinisterio de Economía y Competitividades_ES
dc.description.sponsorshipComunidad de Madrides_ES
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)*
dc.rights(c) 2019 IEEE
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectDistributed fiber sensingen
dc.subjectAcoustic sensingen
dc.subjectVibration sensingen
dc.subjectPipeline integrityen
dc.subjectPhase-sensitive OTDRen
dc.subjectPattern recognitionen
dc.titleA Contextual GMM-HMM Smart Fiber Optic Surveillance System for Pipeline Integrity Threat Detectionen
dc.typeinfo:eu-repo/semantics/articleen
dc.subject.ecienciaElectrónicaes_ES
dc.subject.ecienciaElectronicsen
dc.contributor.affiliationUniversidad de Alcalá. Departamento de Electrónicaes_ES
dc.date.updated2019-10-04T13:16:54Z
dc.type.versioninfo:eu-repo/semantics/acceptedVersionen
dc.identifier.doi10.1109/JLT.2019.2908816
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/307441/EU/Ubiquitous optical FIbre NErves/U-FINEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/722509/EU/Fibre Nervous Sensing Systems/FINESSEen
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO/TEC2013-45265-R/ES/DETECCION TEMPRANA DE AMENAZAS PARA INFRAESTRUCTURAS CRITICAS USANDO SISTEMAS DISTRIBUIDOS DE FIBRA OPTICA/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//TEC2015-71127-C2-2-R/ES/REDUCCION DE LOS EFECTOS DE RUIDO EN SISTEMAS DE FIBRA OPTICA NO LINEALES/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/MINECO//BES-2015-075982/ES/BES-2015-075982/en
dc.relation.projectIDinfo:eu-repo/grantAgreement/Comunidad de Madrid//S2009%2FMIT2790/ES/Sensores e INstrumentación en tecnologías FOTÓNicas/SINFOTONen
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.identifier.uxxiAR/0000030781
dc.identifier.publicationtitleJournal of Lightwave Technologyen
dc.identifier.publicationvolume37
dc.identifier.publicationlastpage4522
dc.identifier.publicationissue18
dc.identifier.publicationfirstpage4514


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