Research on Fault Diagnosis of Aeroengine Endoscopic Detection Based on CBR and RBR

The combination of rule-based reasoning (RBR) and case-based reasoning (CBR) is used to build an expert system for the endoscopic detection of aero-engines. The aircraft maintenance manual is converted into knowledge rules, and a rule base is constructed. Typical damages and corresponding maintenance decisions adopted are taken as cases to construct a case base. The rule base and the case base together form the expert system knowledge base, which is stored in the database. At the same time, the corresponding learning mechanism is established to realize the maintenance of diagnostic rules and typical cases. When the expert system works, through the man-machine interface, the user inputs the image related information, extracts the image damage information, carries on the reasoning in the rule base, obtains the maintenance decision according to the matching rule, regarding is difficult to make the maintenance decision in the critical state damage, needs to carry on the case-based reasoning, retrieves the similar historical case from the case base, finally unifies RBR and CBR reasoning result to make the maintenance decision comprehensively.