Abstract
Fault diagnosis of industrial equipments becomes increasingly important. Developing a fast and reliable diagnosis system presents a challenge issue in many complex industrial systems. The major difficulties therein arise from the unavailability of experienced technicians for support. This study is oriented to explore a knowledge management approach by capitalizing the expertise which serves on one hand, to build an ontology used in gas turbines maintenance domain, and on the other hand, to develop a case based reasoning tool for helping users to make decisions in diagnostic and maintenance.
Keywords: Knowledge management, domain ontology, fault diagnosis, case based reasoning.