Case-Based Decision Support on Diagnosis and Maintenance in the Aircraft Domain

Aircraft diagnosis is a highly complex topic. Many knowledge sources are required and have to be integrated into a diagnosis system. This paper describes the instantiation of a multi-agent system for case-based aircraft diagnosis based on the SEASALT architecture. This system will extend an existing rulebased diagnosis system, to make use of the experience on occurred faults and their solutions. We describe the agents within our diagnosis system and the knowledge modeling for the case-based reasoning systems. In addition we give an overview over the current implementation.