ABSTRACT 

The purpose of the experimental system is to realize efficient and robust 
diagnosis. To achieve this goal, we have investigated a model-based diagnosis 
technology which utilizes a model of the target device, an adaptive diagnosis 
mechanism with learning capability, and a parallel processing technology. 

FEATURES 

Model-based diagnosis 
   It performs model-based diagnosis, utilizing knowledge about the struc-
   ture of the target device and the function of each component. This elim-
   inates the necessity of interviewing experts in order to build a diagnostic 
   knowledge base. 

Adaptive diagnosis mechanism with learning capability 
   It learns fault probability distribution, based on its diagnostic experience, 
   in order to pinpoint the faulty component with minimum number of tests. 

Parallel processing 
   Parallel computation on Multi-PSI machine reduces the computation time 
   for the diagnosis and the learning function. 





System Configuration  


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