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

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dc.contributor.author Bustos Caballero, Alejandro
dc.contributor.author Rubio Alonso, Higinio
dc.contributor.author Castejón Sisamón, Cristina
dc.contributor.author García Prada, Juan Carlos
dc.date.accessioned 2022-01-26T08:44:48Z
dc.date.available 2022-01-26T08:44:48Z
dc.date.issued 2019-03
dc.identifier.bibliographicCitation Bustos, 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.
dc.identifier.issn 0263-2241
dc.identifier.uri http://hdl.handle.net/10016/33960
dc.description.abstract Fault 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.
dc.description.sponsorship The work is supported by the Spanish Government through the MAQ-STATUS DPI2015-69325-C2-1-r project.
dc.format.extent 12
dc.language.iso eng
dc.publisher Elsevier
dc.rights © 2018 Elsevier Ltd. All rights reserved.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other GRSC
dc.subject.other CBF
dc.subject.other Condition monitoring
dc.subject.other Signal processing
dc.subject.other Rolling bearing
dc.subject.other High speed train
dc.title Condition monitoring of critical mechanical elements through Graphical Representation of State Configurations and Chromogram of Bands of Frequency
dc.type article
dc.subject.eciencia Ingeniería Mecánica
dc.identifier.doi https://doi.org/10.1016/j.measurement.2018.11.029
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. DPI2015-69325-C2-1-R
dc.type.version acceptedVersion
dc.identifier.publicationfirstpage 71
dc.identifier.publicationlastpage 82
dc.identifier.publicationtitle Measurement
dc.identifier.publicationvolume 135
dc.identifier.uxxi AR/0000021889
dc.contributor.funder Ministerio de Economía y Competitividad (España)
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