An Expert System for Fault Section Diagnosis of using Fuzzy Relations

This paper proposes an expert system using fuzzy As earlier attempts, the rule-based expert systems were relations to deal with uncertainties imposed on fault section proposed( 1-31. Recently, the knowledge representation and diagnosis of power systems. We build saginal diagrams which inference procedures using the cause-effect network were fault sections using the sagittal diagrams. Next, we examine the fault(4-51. Neural networks were also employe malfunction or wrong alarm of relays and circuit breakers based on the alarm information and the estimated fault section. diagnosis Of large p The proposed system provides the fault section candidates in Diagnosis is the proces terms of the degree of membership and the malfunction or diagnosis system uses the