Analysis of the influence of crack location for diagnosis in rotating shafts based on 3 x energy

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dc.contributor.author Gómez García, María Jesús
dc.contributor.author Castejón Sisamón, Cristina
dc.contributor.author Corral Abad, Eduardo
dc.contributor.author García Prada, Juan Carlos
dc.date.accessioned 2021-07-01T09:36:37Z
dc.date.available 2021-07-01T09:36:37Z
dc.date.issued 2016-09
dc.identifier.bibliographicCitation Gómez, M., Castejón, C., Corral, E. & García-Prada, J. (2016). Analysis of the influence of crack location for diagnosis in rotating shafts based on 3 x energy. Mechanism and Machine Theory, vol. 103, pp. 167–173.
dc.identifier.issn 0094-114X
dc.identifier.uri http://hdl.handle.net/10016/32970
dc.description.abstract The aim of condition monitoring is to detect faults before a catastrophic failure occurs. Cracks in rotating shafts are especially critical. The present work studies vibration signals obtained from a rotating shaft under different crack depths and locations. Tests were performed in a rig called Rotokit at a steady state at different rotation speeds. Signals obtained are analyzed by means of energy using the Wavelet theory, specifically the Wavelet Packets Transform. Nine crack depths in the shafts were tested, from 4% to 50% of the shaft diameter. Previous related work showed good reliability for crack diagnosis using 3 x energy for cracks in the middle section. In the present work, previous results are compared to the obtained for a crack in a change of section at one side. In both crack locations, large changes in energy are observed at 3 x at high speeds. Energy levels at this harmonic were used for the inverse process of crack detection, and probability of detection curves were calculated by thresholding. Cracks with depths above 12% can be detected with reliability in the locations tested using this method.
dc.description.sponsorship The authors would like to thankthe Spanish Government for financing through the projects RANKINE21 IDI-20101560 and MAQ-STATUS DPI2015-69325-C2-1-R.
dc.format.extent 7
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2016 Elsevier Ltd.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Condition monitoring
dc.subject.other Vibration analysis
dc.subject.other Crack detection
dc.subject.other Wavelet packets transform
dc.title Analysis of the influence of crack location for diagnosis in rotating shafts based on 3 x energy
dc.type article
dc.subject.eciencia Ingeniería Mecánica
dc.identifier.doi https://doi.org/10.1016/j.mechmachtheory.2016.05.006
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. DPI2015-69325-C2-1-R
dc.relation.projectID Gobierno de España. IDI-20101560
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 167
dc.identifier.publicationlastpage 173
dc.identifier.publicationtitle Mechanism and Machine Theory
dc.identifier.publicationvolume 103
dc.identifier.uxxi AR/0000018050
dc.contributor.funder Ministerio de Economía y Competitividad (España)
dc.contributor.funder Ministerio de Ciencia e Innovación (España)
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