Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/52572
DC FieldValueLanguage
dc.contributor.authorHenríquez, P.en_US
dc.contributor.authorAlonso Hernández, Jesús Bernardinoen_US
dc.contributor.authorFerrer Ballester, Miguel Ángelen_US
dc.contributor.authorTravieso González, Carlos Manuelen_US
dc.date.accessioned2018-12-03T09:40:20Z-
dc.date.available2018-12-03T09:40:20Z-
dc.date.issued2016en_US
dc.identifier.issn1363-7681en_US
dc.identifier.urihttp://hdl.handle.net/10553/52572-
dc.description.abstractThis paper presents a new methodology for degradation assessment in bearings with outer race fault. The novelty of the paper is the application of the Lempel-Ziv complexity (LZC) to the node of maximal energy from the wavelet package transform of the raw vibration signal. The objective of the paper is to develop a methodology for outer race fault bearing severity assessment and to show how the extracted feature LZC follows monotonically the bearing degradation. The proposed methodology is compared with LZC and kurtosis extracted from the raw vibration signal and with kurtosis extracted from the node with maximal energy.en_US
dc.languageengen_US
dc.relation.ispartofInternational Journal of COMADEMen_US
dc.sourceInternational Journal of COMADEM[ISSN 1363-7681],v. 19, p. 3-10en_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherBearingen_US
dc.subject.otherLempel-Ziv complexityen_US
dc.subject.otherWavelet Packet transformen_US
dc.titleDegradation assessment study for bearings with outer race faulten_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.scopus84973662121-
dc.contributor.authorscopusid57027894900-
dc.contributor.authorscopusid24774957200-
dc.contributor.authorscopusid55636321172-
dc.contributor.authorscopusid6602376272-
dc.description.lastpage10-
dc.identifier.issue2-
dc.description.firstpage3-
dc.relation.volume19-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.date.coverdateAbril 2016
dc.identifier.ulpgces
dc.description.sjr0,128
dc.description.sjrqQ3
item.grantfulltextnone-
item.fulltextSin texto completo-
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.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.orcid0000-0002-1170-2820-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.orcid0000-0002-2924-1225-
crisitem.author.orcid0000-0002-4621-2768-
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.fullNameHenríquez Sánchez, Patricia-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.author.fullNameFerrer Ballester, Miguel Ángel-
crisitem.author.fullNameTravieso González, Carlos Manuel-
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