An Ontology-Based Condition Analyzer for Fault Classification on Railway Vehicles

Authors:
Cristina Ambrosi;Cristiano Ghersi;Armando Tacchella
Affiliations:
Università degli Studi di Genova - DIST, Genova, Italy 16145;Università degli Studi di Genova - DIST, Genova, Italy 16145 and Medservice.com s.r.l., Genova, Italy 16137;Università degli Studi di Genova - DIST, Genova, Italy 16145
Venue:
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
Year:
2009

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Abstract

In this paper we summarize the design and the implementation of an ontology-based condition analyzer which performs on-board fault detection and classification for railway rolling stock. Our system is engineered to run on embedded devices that meet stringent railway regulations for on-board deployment and thus it witnesses the feasibility of ontology-based approaches for the implementation of intelligent information systems even in contexts where memory and processing resources come at a premium.