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C. Vale¹, C. Bonifácio¹, J. Seabra¹, R. Calçada¹, N. Mazzino², M. Elis², S. Terribile², D. Anguita³, E. Fumeo³, C. Saborido⁴, T. Vanhonacker⁵, E. De Donder⁶, M. Laeremans⁶, F. Vermeulen⁷, D. Grimes⁸ and D. Dias⁹

¹Construct-LESE, Faculty of Engineering of University of Porto, Portugal
²Ansaldo STS S.p.A., Genoa, Italy
³Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), Polytechnic School of University of Genoa, Italy
⁴COMSA EMTE, Barcelona, Spain
⁵Dynamics, Structures and Systems International, Leuven, Belgium
⁶Vlaamse Vervoermaatschappij De Lijn, , Antwerp, Belgium
⁷I-MOSS N.V., Bertem, Belgium
⁸Insight Center for Data Analytics, Dept. of Computer Science, University College Cork, Ireland
⁹NOMADTECH, Portugal

Keywords: axle bearings, condition monitoring system, diagnosis, condition-based maintenance.

Summary

The reliability of axle bearings has significant safety and economic implications on rail operations. The MAXBE project, an FP7 project funded by the European Commission appeared in this context. The project focuses on the development of novel wayside and on-board monitoring systems for an early detection of axle bearings faults and for defining a condition-based maintenance model for axle bearings. Different wayside monitoring systems were developed based on diverse approaches as well as two on-board monitoring systems. To support the decision making of the responsible stakeholders synchronized measurements from the on-board and the wayside monitoring systems were integrated into a platform. The wayside monitoring systems were tested in several locations in Europe. The on-board systems were tested in one train that circulates in the Portuguese Northern Railway Line. The research has been complemented through extensive laboratory tests and multibody dynamic modelling used to correlate the in-situ measurements with the status of the axle bearing life. A condition-based maintenance model for axle bearings was also developed as well as a smart diagnostics for an early detection of faults and a software tool for the optimal physical distribution of the diagnostic systems. This paper presents the main results and findings of the project.

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Front Page Browse CCP CSETS CTR IJRT Other Authors Search Purchase Guide FAQ Contact us	Civil-Comp Proceedings ISSN 1759-3433 CCP: 110 PROCEEDINGS OF THE THIRD INTERNATIONAL CONFERENCE ON RAILWAY TECHNOLOGY: RESEARCH, DEVELOPMENT AND MAINTENANCE Edited by: J. Pombo Paper 307 Axle Bearing Condition Monitoring, Diagnosis and Maintenance: The MAXBE Project C. Vale¹, C. Bonifácio¹, J. Seabra¹, R. Calçada¹, N. Mazzino², M. Elis², S. Terribile², D. Anguita³, E. Fumeo³, C. Saborido⁴, T. Vanhonacker⁵, E. De Donder⁶, M. Laeremans⁶, F. Vermeulen⁷, D. Grimes⁸ and D. Dias⁹ ¹Construct-LESE, Faculty of Engineering of University of Porto, Portugal ²Ansaldo STS S.p.A., Genoa, Italy ³Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS), Polytechnic School of University of Genoa, Italy ⁴COMSA EMTE, Barcelona, Spain ⁵Dynamics, Structures and Systems International, Leuven, Belgium ⁶Vlaamse Vervoermaatschappij De Lijn, , Antwerp, Belgium ⁷I-MOSS N.V., Bertem, Belgium ⁸Insight Center for Data Analytics, Dept. of Computer Science, University College Cork, Ireland ⁹NOMADTECH, Portugal doi:10.4203/ccp.110.307 purchase the full-text of this paper Full Bibliographic Reference for this paper , "Axle Bearing Condition Monitoring, Diagnosis and Maintenance: The MAXBE Project", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 307, 2016. doi:10.4203/ccp.110.307 Keywords: axle bearings, condition monitoring system, diagnosis, condition-based maintenance. Summary The reliability of axle bearings has significant safety and economic implications on rail operations. The MAXBE project, an FP7 project funded by the European Commission appeared in this context. The project focuses on the development of novel wayside and on-board monitoring systems for an early detection of axle bearings faults and for defining a condition-based maintenance model for axle bearings. Different wayside monitoring systems were developed based on diverse approaches as well as two on-board monitoring systems. To support the decision making of the responsible stakeholders synchronized measurements from the on-board and the wayside monitoring systems were integrated into a platform. The wayside monitoring systems were tested in several locations in Europe. The on-board systems were tested in one train that circulates in the Portuguese Northern Railway Line. The research has been complemented through extensive laboratory tests and multibody dynamic modelling used to correlate the in-situ measurements with the status of the axle bearing life. A condition-based maintenance model for axle bearings was also developed as well as a smart diagnostics for an early detection of faults and a software tool for the optimal physical distribution of the diagnostic systems. This paper presents the main results and findings of the project. purchase the full-text of this paper (price £22) go to the previous paper go to the next paper return to the table of contents return to the book description purchase this book (price £85 +P&P)
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