Knowledge Acquisition of Diagnostic Expert System for Space Electronic Apparatus

Aiming at the problem of knowledge acquisition of expert system,this paper put forward a method try to solve the problem by phases according to the characteristics of space equipments and general process of knowledge acquisition.It adopted FTA method to classify faults in phase one of knowledge acquisition according to the rich knowledge resource of space equipment.In phase two,the best case was fetched from case base by matching algorithm base on CBR and modified according to reality condition.Then the nearest neighbor algorithm was used to complete knowledge acquisition of case base.Application in the diagnostic expert system for space electronic apparatus shows that the method can promote the performance of auto-acquisition of diagnostic rules of expert system by making fully use of existing technology information.