An Ontology-Based Condition Analyzer for Fault Classification on Railway Vehicles
作者： Cristina De Ambrosi , Cristiano Ghersi , Armando Tacchella
DOI: 10.1007/978-3-642-02568-6_46
关键词:
摘要: In this paper we summarize the design and implementation of an ontology-based condition analyzer which performs on-board fault detection classification for railway rolling stock. Our system is engineered to run on embedded devices that meet stringent regulations deployment thus it witnesses feasibility approaches intelligent information systems even in contexts where memory processing resources come at a premium.
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