Novel efficient technologies in Europe for axle bearing condition monitoring – the MAXBE project

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dc.contributor.authorVale, Cecília
dc.contributor.authorBonifácio, Cristiana
dc.contributor.authorSeabra, Jorge
dc.contributor.authorCalçada, Rui
dc.contributor.authorMazzino, Nadia
dc.contributor.authorElisa, Massara
dc.contributor.authorTerribile, Stefano
dc.contributor.authorAnguita, Davide
dc.contributor.authorFumeo, Emanuele
dc.contributor.authorSaborido, Carlos
dc.contributor.authorVanhonacker, Tom
dc.contributor.authorDe Donder, Edwin
dc.contributor.authorLaeremans, Michael
dc.contributor.authorVermeulen, Frederik
dc.contributor.authorGrimes, Diarmuid
dc.contributor.funderSeventh Framework Programmeen
dc.date.accessioned2016-12-01T11:25:37Z
dc.date.available2016-12-01T11:25:37Z
dc.date.issued2016-06-27
dc.date.updated2016-12-01T10:45:09Z
dc.description.abstractAxle bearing damage with possible catastrophic failures can cause severe disruptions or even dangerous derailments, potentially causing loss of human life and leading to significant costs for railway infrastructure managers and rolling stock operators. Consequently the axle bearing damage process has safety and economic implications on the exploitation of railways systems. Therefore it has been the object of intense attention by railway authorities as proved by the selection of this topic by the European Commission in calls for research proposals. The MAXBE Project (http://www.maxbeproject.eu/), an EU-funded project, appears in this context and its main goal is to develop and to demonstrate innovative and efficient technologies which can be used for the onboard and wayside condition monitoring of axle bearings. The MAXBE (interoperable monitoring, diagnosis and maintenance strategies for axle bearings) project focuses on detecting axle bearing failure modes at an early stage by combining new and existing monitoring techniques and on characterizing the axle bearing degradation process. The consortium for the MAXBE project comprises 18 partners from 8 member states, representing operators, railway administrations, axle bearing manufactures, key players in the railway community and experts in the field of monitoring, maintenance and rolling stock. The University of Porto is coordinating this research project that kicked-off in November 2012 and it is completed on October 2015. Both on-board and wayside systems are explored in the project since there is a need for defining the requirement for the onboard equipment and the range of working temperatures of the axle bearing for the wayside systems. The developed monitoring systems consider strain gauges, high frequency accelerometers, temperature sensors and acoustic emission. To get a robust technology to support the decision making of the responsible stakeholders synchronized measurements from onboard and wayside monitoring systems are integrated into a platform. Also extensive laboratory tests were performed to correlate the in situ measurements to the status of the axle bearing life. With the MAXBE project concept it will be possible: to contribute to detect at an early stage axle bearing failures; to create conditions for the operational and technical integration of axle bearing monitoring and maintenance in different European railway networks; to contribute to the standardization of the requirements for the axle bearing monitoring, diagnosis and maintenance. Demonstration of the developed condition monitoring systems was performed in Portugal in the Northern Railway Line with freight and passenger traffic with a maximum speed of 220 km/h, in Belgium in a tram line and in the UK. Still within the project, a tool for optimal maintenance scheduling and a smart diagnostic tool were developed. This paper presents a synthesis of the most relevant results attained in the project. The successful of the project and the developed solutions have positive impact on the reliability, availability, maintainability and safety of rolling stock and infrastructure with main focus on the axle bearing health.en
dc.description.statusPeer revieweden
dc.description.urihttp://www.traconference.eu/en
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationVALE, C., BONIFÁCIO, C., SEABRA, J., CALÇADA, R., MAZZINO, N., ELISA, M., TERRIBILE, S., ANGUITA, D., FUMEO, E., SABORIDO, C., VANHONACKER, T., DE DONDER, E., LAEREMANS, M., VERMEULEN, F. and GRIMES, D. (2016) ‘Novel efficient technologies in Europe for axle bearing condition monitoring – the MAXBE project’, Transportation Research Procedia, 14, pp. 635-644. doi:10.1016/j.trpro.2016.05.313en
dc.identifier.doi10.1016/j.trpro.2016.05.313
dc.identifier.endpage644en
dc.identifier.issn2352-1465
dc.identifier.journaltitleTransportation Research Procediaen
dc.identifier.startpage635en
dc.identifier.urihttps://hdl.handle.net/10468/3334
dc.identifier.volume14en
dc.language.isoenen
dc.publisherElsevier Ltden
dc.relation.ispartofMAXBE - Interoperable Monitoring, Diagnosis and Maintenance Strategies for Axle Bearings
dc.relation.projectinfo:eu-repo/grantAgreement/EC/FP7::SP1::TPT/314408/EU/INTEROPERABLE MONITORING, DIAGNOSIS AND MAINTENANCE STRATEGIES FOR AXLE BEARINGS/MAXBEen
dc.relation.urihttps://web.fe.up.pt/~maxbe/index.html
dc.rights© 2016. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of Road and Bridge Research Institute (IBDiMen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.subjectAxle bearingsen
dc.subjectCondition monitoring systemen
dc.subjectDiagnosisen
dc.subjectCondition-based maintenanceen
dc.titleNovel efficient technologies in Europe for axle bearing condition monitoring – the MAXBE projecten
dc.typeArticle (peer-reviewed)en
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