Effective Crack Detection in Railway Axles Using Vibration Signals and WPT Energy

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dc.contributor.author Gómez García, María Jesús
dc.contributor.author Corral Abad, Eduardo
dc.contributor.author Castejón Sisamón, Cristina
dc.contributor.author García Prada, Juan Carlos
dc.date.accessioned 2019-02-18T09:51:27Z
dc.date.available 2019-02-18T09:51:27Z
dc.date.issued 2018-05-17
dc.identifier.bibliographicCitation Gómez, M.J., Corral, E., Castejón, C., García-Prada, J.C. Effective Crack Detection in Railway Axles Using Vibration Signals and WPT Energy. Sensors 2018, 18, 1603.
dc.identifier.issn 1424-8220
dc.identifier.uri http://hdl.handle.net/10016/28082
dc.description.abstract Crack detection for railway axles is key to avoiding catastrophic accidents. Currently, non-destructive testing is used for that purpose. The present work applies vibration signal analysis to diagnose cracks in real railway axles installed on a real Y21 bogie working on a rig. Vibration signals were obtained from two wheelsets with cracks at the middle section of the axle with depths from 5.7 to 15 mm, at several conditions of load and speed. Vibration signals were processed by means of wavelet packet transform energy. Energies obtained were used to train an artificial neural network, with reliable diagnosis results. The success rate of 5.7 mm defects was 96.27%, and the reliability in detecting larger defects reached almost 100%, with a false alarm ratio lower than 5.5%.
dc.description.sponsorship The research work described in this paper was supported by the Spanish Government through the MAQ-STATUS DPI2015-69325-C2-1-R project. Authors would also thank the support provided by the participating companies (Renfe, Alstom Spain, SKF Spain, and Danobat Railway Systems) in this project.
dc.format.extent 16
dc.format.mimetype application/pdf
dc.language.iso eng
dc.publisher MDPI
dc.rights © 2018 by the authors. Licensee MDPI, Basel, Switzerland.
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Bogies test rig
dc.subject.other Condition monitoring
dc.subject.other Crack detection
dc.subject.other Vibration analysis
dc.title Effective Crack Detection in Railway Axles Using Vibration Signals and WPT Energy
dc.type article
dc.subject.eciencia Ingeniería Mecánica
dc.identifier.doi https://doi.org/10.3390/s18051603
dc.rights.accessRights openAccess
dc.relation.projectID Gobierno de España. DPI2015-69325-C2-1-R
dc.type.version publishedVersion
dc.identifier.publicationissue 5
dc.identifier.publicationtitle Sensors
dc.identifier.publicationvolume 18
dc.identifier.uxxi AR/0000021927
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