Axle bearing condition monitoring, diagnosis and maintenance: The MAXBE project

• Type: Article in International Conference Proceedings Book
• Date: 2016

Authors

Cecília Vale (Author) FEUP; Bonifácio, C (Author) Other; Seabra, J (Author) Other; Rui Calçada (Author) FEUP; Mazzino, N (Author) Other; Elis, M (Author) Other; Terribile, S (Author) Other; Anguita, D (Author) Other; Fumeo, E (Author) Other; Saborido, C (Author) Other; Vanhonacker, T (Author) Other; De Donder, E (Author) Other; Laeremans, M (Author) Other; Vermeulen, F (Author) Other; Grimes, D (Author) Other; Dias, D (Author) Other

Conference proceedings International

Title: Civil-Comp Proceedings

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00K-EHF

Abstract (EN): 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 onboard and the wayside monitoring systems were integrated into a platform. The wayside monitoring systems were tested in several locations in Europe. The onboard systems were tested in one train that circulate 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. © Civil-Comp Press, 2016.

Language: English

Type (Professor's evaluation): Scientific