Steam turbine diagnostic system based on a domain ontology implemented using J2EE technology

Author

Sihem, Klai ; Tarek, Khadir M. ; Ringwood, John V.

Author_Institution

LabGED (Lab. de Gestion Electron. de Documents), Univ. of Badji Mokhtar, Annaba, Algeria

fYear

2009

fDate

6-8 Nov. 2009

Firstpage

1

Lastpage

6

Abstract

This paper describes the design and the implementation of an aided diagnostic system based on a domain ontology and an expert system. A mono ontology obtained from multiple CCOs (canonical conceptual ontologies) constitutes the knowledge base of the expert system. The NCCO (non canonical conceptual ontology) are defined and used for realising inter-CCO mapping and to express the relationships between the COO. An expert system JESS (Java Expert System Shell) is integrated with the ontology. Knowledge inference is then possible to solve maintenance cases by given adequate diagnoses to given symptoms. The second aspect of the paper focuses on the possible enhancement and evolution of the developed ontology in order to take into account new maintenance cases. The complete system is developed following a J2EE (Java 2 Enterprise Edition) architecture.

Keywords

Java; expert systems; ontologies (artificial intelligence); power engineering computing; steam turbines; J2EE technology; JESS; Java 2 Enterprise Edition; Java Expert System Shell; canonical conceptual ontology; domain ontology; expert system; knowledge inference; steam turbine diagnostic system; Circuits and systems; Databases; Diagnostic expert systems; Expert systems; Java; MONOS devices; OWL; Ontologies; Signal design; Turbines; Expert System; J2EE; JDBC; OWL; Ontology Construction; OntologyEvolution; Protégé;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Circuits and Systems (SCS), 2009 3rd International Conference on

Conference_Location

Medenine

Print_ISBN

978-1-4244-4397-0

Electronic_ISBN

978-1-4244-4398-7

Type

conf

DOI

10.1109/ICSCS.2009.5412694

Filename

5412694