Publication:
Crack detection in rotating shafts based on 3x energy: analytical and experimental analyses

dc.affiliation.areaUC3M. Área de Ingeniería Mecánicaes
dc.affiliation.dptoUC3M. Departamento de Ingeniería Mecánicaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: MAQLAB: Laboratorio de Máquinases
dc.contributor.authorGómez García, María Jesús
dc.contributor.authorCastejón Sisamón, Cristina
dc.contributor.authorGarcía Prada, Juan Carlos
dc.contributor.funderMinisterio de Ciencia e Innovación (España)es
dc.date.accessioned2021-07-02T12:01:59Z
dc.date.available2021-07-02T12:01:59Z
dc.date.issued2016-02-01
dc.description.abstractMaintenance is essential to prevent catastrophic failures in rotating machinery. A crack can cause a failure with costly processes of reparation, especially in a rotating shaft. In this study, the wavelet transform theory was applied to vibration signals to detect cracks in a rotating shaft. Data were obtained from an analytical Jeffcott rotor model with a breathing function to simulate cracks. Large changes in energy when a crack appears were discovered at 1 ×, 2 × and 3 ×. Thereafter, vibration signals were obtained from a rotating machine at different steady-state rotational speeds using an accelerometer mounted on the bearing housing. Nine defect conditions were induced in the shaft (with depths from 4% to 50% of the shaft diameter). By matching the theoretical results with the experimental data, it was found that only the 3 × component of the rotational speed is a clear indicator of the presence of a crack in this case. The energy level at this harmonic can be used for the inverse process of crack detection. Moreover, “probability of detection” curves were calculated. They showed very good results.en
dc.description.sponsorshipThe authors would like to thank the Spanish Government for financing through the CDTI project RANKINE21 IDI-20101560.en
dc.description.statusPublicadoes
dc.format.extent12es
dc.identifier.doihttps://doi.org/10.1016/j.mechmachtheory.2015.09.009
dc.identifier.issn0094-114X
dc.identifier.publicationfirstpage94
dc.identifier.publicationlastpage106
dc.identifier.publicationtitleMECHANISM AND MACHINE THEORYen
dc.identifier.publicationvolume96, part 1en
dc.identifier.urihttps://hdl.handle.net/10016/32988
dc.identifier.uxxiAR/0000017561
dc.language.isoengen
dc.publisherElsevieren
dc.relation.projectIDGobierno de España. RANKINE21 IDI-20101560es
dc.rights© 2015 Elsevier Ltd. All rights reserved.en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaIngeniería Mecánicaes
dc.subject.otherCracked shaft detectionen
dc.subject.otherWavelet transformen
dc.subject.otherCondition monitoringen
dc.subject.otherProbability of detectionen
dc.titleCrack detection in rotating shafts based on 3x energy: analytical and experimental analysesen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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