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Civil-Comp Proceedings
ISSN 1759-3433
CCP: 110
Edited by: J. Pombo
Paper 309

A Data Fusion Approach based on Systems Integration for Axle Bearing Monitoring

E. Fumeo1, S. Terribile1, D. Anguita1, E. Massara2 and N. Mazzino2

1Department of Computer Science, Bioengineering, Robotics and Systems Engineering, Polytechnic School, University of Genoa, Italy
2Innovation Project, Ansaldo STS S.p.A., Genoa, Italy

Full Bibliographic Reference for this paper
E. Fumeo, S. Terribile, D. Anguita, E. Massara, N. Mazzino, "A Data Fusion Approach based on Systems Integration for Axle Bearing Monitoring", in J. Pombo, (Editor), "Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance", Civil-Comp Press, Stirlingshire, UK, Paper 309, 2016. doi:10.4203/ccp.110.309
Keywords: asset management, condition-based maintenance, data fusion, monitoring system, diagnostics system, system integrator, human machine interface.

In the context of condition-based maintenance (CBM) for railway transportation systems, the correlation of data coming from several heterogeneous sensors is gaining growing research interest: for this purpose, it is extremely important to study and deploy data fusion methodologies able to merge information coming both from wayside train monitoring and diagnostic systems and from on-board train monitoring systems. This paper describes an innovative data fusion approach based on a software systems integration for axle bearing CBM: a data fusion system composed of three modules, namely the data fusion application, the system integrator and a visualization system referred as the human machine interface have been developed. The results presented in this paper show the benefits in terms of maintenance costs reduction, risk management and safety, and the system proves to have a positive impact all over the railways systems.

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