DATA BASED ONTOLOGY CONSTRUCTION COUPLED TO EXPERT SYSTEM FOR STEAM TURBINE AIDED DIAGNOSTIC

This paper describes an approach for ontology construction using heterogeneous databases. We propose a mono-ontology of multiple CCOs (Canonical Conceptual Ontology) approach coupled to an expert system. Each database is described by its own CCO. 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 into ontology to generate automatically the NCCO starting from the logical rules. The proposed approach is applied for designing a fault diagnostic maintenance system for steam turbine. 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. 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.