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Condition monitoring of critical mechanical elements through Graphical Representation of State Configurations and Chromogram of Bands of Frequency

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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.authorBustos Caballero, Alejandro
dc.contributor.authorRubio Alonso, Higinio
dc.contributor.authorCastejón Sisamón, Cristina
dc.contributor.authorGarcía Prada, Juan Carlos
dc.contributor.funderMinisterio de Economía y Competitividad (España)es
dc.date.accessioned2022-01-26T08:44:48Z
dc.date.available2022-01-26T08:44:48Z
dc.date.issued2019-03
dc.description.abstractFault detection is a crucial aspect to avoid catastrophic failures on mechanical systems, as well as to save money for companies. Currently, a number of non-destructing tests, signal processing analysis and artificial intelligence techniques are used for processing larger and larger amounts of maintenance data in all industry fields, either independently or combined. This manuscript presents a novel methodology for the condition monitoring of machinery, based on vibration analysis. The methodology is supported on two novel signal processing techniques: Graphical Representation of State Configurations (GRSC) and Chromogram of Bands of Frequency (CBF). These two new techniques apply basic concepts of the machine deterioration theory to the frequency spectrum. In order to prove the successful of the work presented, the methodology is tested against two real examples: vibration signals from the Case Western Reserve University (CWRU) Bearing Data Centre, and vibration signals from a high-speed train in normal operation. The results show that these new techniques can process large amounts of data without using artificial intelligence, identify adequately the operating condition of the tested systems and give precise information about that operating system by means of simple graphs and colours.en
dc.description.sponsorshipThe work is supported by the Spanish Government through the MAQ-STATUS DPI2015-69325-C2-1-r project.en
dc.format.extent12
dc.identifier.bibliographicCitationBustos, A., Rubio, H., Castejon, C. & Garcia-Prada, J. C. (2019). Condition monitoring of critical mechanical elements through Graphical Representation of State Configurations and Chromogram of Bands of Frequency. Measurement, 135, 71–82.en
dc.identifier.doihttps://doi.org/10.1016/j.measurement.2018.11.029
dc.identifier.issn0263-2241
dc.identifier.publicationfirstpage71
dc.identifier.publicationlastpage82
dc.identifier.publicationtitleMeasurementen
dc.identifier.publicationvolume135
dc.identifier.urihttps://hdl.handle.net/10016/33960
dc.identifier.uxxiAR/0000021889
dc.language.isoengen
dc.publisherElsevieren
dc.relation.projectIDGobierno de España. DPI2015-69325-C2-1-Res
dc.rights© 2018 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.otherGRSCen
dc.subject.otherCBFen
dc.subject.otherCondition monitoringen
dc.subject.otherSignal processingen
dc.subject.otherRolling bearingen
dc.subject.otherHigh speed trainen
dc.titleCondition monitoring of critical mechanical elements through Graphical Representation of State Configurations and Chromogram of Bands of Frequencyen
dc.typeresearch article*
dc.type.hasVersionAM*
dspace.entity.typePublication
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