Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52627
DC FieldValueLanguage
dc.contributor.authorDiaz, Moisesen_US
dc.contributor.authorHenriquez, P.en_US
dc.contributor.authorFerrer Ballester, Miguel Ángelen_US
dc.contributor.authorAlonso Hernández, Jesús Bernardinoen_US
dc.contributor.authorPirlo, giuseppeen_US
dc.contributor.authorImpedovo, Donatoen_US
dc.date.accessioned2018-12-05T10:51:21Z-
dc.date.available2018-12-05T10:51:21Z-
dc.date.issued2016en_US
dc.identifier.isbn9781479986910en_US
dc.identifier.issn1071-6572en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/52627-
dc.description.abstractEarly fault detection leads to faster and more effective maintenance, avoiding serious damage in machines and increasing the reliability, security and fault tolerance in industrial scenarios. It is observed that a vibration signal of an onset fault in different parts of the bearing (inner race, outer race and ball) describes certain stable profile among their respective cycles. A methodology to estimate the stability of two dynamic handwriting signatures has been proposed using the Direct Matching Points (DMP) of the elastic align function Dynamic Time Warping (DTW). This methodology is evaluated in this paper and extrapolated to machinery vibration signals affected by an early bearing fault. Results confirm the feasibility to study the stability in both free-fault and fault bearing signals to detect automatically early faults in the bearings by using recorded vibration signals.en_US
dc.languageengen_US
dc.relationSíntesis de muestras biométricas para aplicaciones de salud y seguridaden_US
dc.relation.ispartofProceedings - International Carnahan Conference on Security Technologyen_US
dc.sourceProceedings - International Carnahan Conference on Security Technology [ISSN 1071-6572], [EISSN 2153-0742], v. 2015-January, p. 43-47en_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherDirect Matching Pointsen_US
dc.subject.otherDynamic Time Warpingen_US
dc.subject.otherEarly Bearing Fault Detectionen_US
dc.subject.otherStability Analysisen_US
dc.titleNovel method for early bearing fault detection based on dynamic stability measureen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference49th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2015en_US
dc.identifier.doi10.1109/CCST.2015.7389655en_US
dc.identifier.scopus84964814516-
dc.identifier.isi000368936200008-
dc.contributor.authorscopusid36760594500-
dc.contributor.authorscopusid57027894900-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid55906867800-
dc.contributor.authorscopusid24821831600-
dc.description.lastpage47en_US
dc.description.firstpage43en_US
dc.relation.volume2015-Januaryen_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid29956019-
dc.contributor.daisngid1432987-
dc.contributor.daisngid233119-
dc.contributor.daisngid418703-
dc.contributor.daisngid443290-
dc.contributor.daisngid775532-
dc.description.numberofpages5en_US
dc.identifier.eisbn978-1-4799-8691-0-
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Diaz, M-
dc.contributor.wosstandardWOS:Henriquez, P-
dc.contributor.wosstandardWOS:Ferrer, MA-
dc.contributor.wosstandardWOS:Alonso, JB-
dc.contributor.wosstandardWOS:Pirlo, G-
dc.contributor.wosstandardWOS:Impedovo, D-
dc.date.coverdateEnero 2016en_US
dc.identifier.conferenceidevents120934-
dc.identifier.ulpgces
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Física-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0003-3878-3867-
crisitem.author.orcid0000-0002-1170-2820-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameDíaz Cabrera, Moisés-
crisitem.author.fullNameHenríquez Sánchez, Patricia-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.project.principalinvestigatorFerrer Ballester, Miguel Ángel-
crisitem.event.eventsstartdate21-09-2015-
crisitem.event.eventsenddate24-09-2015-
Appears in Collections:Actas de congresos
Show simple item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.