A steam turbine diagnostic maintenance system based on an evolutive domain ontology

Author

Khadir, Mohamed Tarek ; Klai, Sihem

Author_Institution

Dept. of Comput. Sci., Univ. of Badji Mokhtar, Annaba, Algeria

fYear

2010

fDate

3-5 Oct. 2010

Firstpage

360

Lastpage

367

Abstract

This paper describes the design of a fault diagnostic maintenance system for steam turbines based on a domain ontology and coupled to an expert system. The main data and information constituting the system come from disparate data bases with different usage. In this case a database for equipment characteristics and another containing maintenance acts defining symptoms, defects and remedies for maintenance cases. An Expert System (ES) integrated with the domain ontology of the steam turbine is used as a reasoner in order to generate new knowledge. 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. Examples of ontology evolution are given at an instance and class levels.

Keywords

expert systems; fault diagnosis; maintenance engineering; ontologies (artificial intelligence); power engineering computing; steam turbines; Evolutive Domain Ontology; equipment characteristic database; expert system; fault diagnostic maintenance system; steam turbines; Cognition; Expert systems; Graphical user interfaces; Maintenance engineering; OWL; Ontologies; Turbines; DataMaster; Expert systems; JESS; maintenance; ontology evolution; steam turbine;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine and Web Intelligence (ICMWI), 2010 International Conference on

Conference_Location

Algiers

Print_ISBN

978-1-4244-8608-3

Type

conf

DOI

10.1109/ICMWI.2010.5648079

Filename

5648079