Fault Diagnosis of Railway Rolling Stock Based on SOUPA Ontology

Author

Haiming Jing

Author_Institution

Informaion Sci. & Technol., Shijiazhuang Tiedao Univ., Shijiazhuang, China

Volume

2

fYear

2013

fDate

28-29 Oct. 2013

Firstpage

364

Lastpage

367

Abstract

Based on SOUPA ontology, Description Logic reasoner is adopted in fault diagnosis for railway rolling stock. Condition analyzer which performs on-board fault detection and classification for 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.

Keywords

description logic; fault diagnosis; ontologies (artificial intelligence); pattern classification; railway rolling stock; SOUPA ontology; classification; condition analyzer; description logic reasoner; embedded devices; fault diagnosis; intelligent information system; memory resource; on-board deployment; on-board fault detection; ontology-based approach; processing resource; railway regulation; railway rolling stock; Cognition; Memory management; OWL; Ontologies; Rail transportation; Vehicles; XML; Condition Analyzer; Description Logic reasoner; Fault Detection; SOUPA ontology;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2013 Sixth International Symposium on

Conference_Location

Hangzhou

Type

conf

DOI

10.1109/ISCID.2013.204

Filename

6804903