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Deep Knowledge Expert System for Diagnosis of Multiple-Failure Severe Transients in Nuclear Power Plant
Abstract TAMUS (Transient Analysis of MUltiple-failure Simulations) is a prototype expert system which is the result of a project investigating and implementing event confidence-levels (used by reactor safety experts in reactor transient analysis) in the form of an expert system. Currently, TAMUS is designed to diagnose reactor transients by analyzing simulated sensor and plant thermal hydraulic information from a system simulation. TAMUS uses a knowledge base of existing emergency nuclear plant operating guidelines and detailed thermal-hydraulic calculation results correlated to confidence-levels. TAMUS can diagnose a number of reactor transients (for example, loss-of-coolant accidents, steam-generator-tube ruptures, loss-of-offsite power, etc.). Future work includes the expansion of the knowledge base and improvement of the “deep-knowledge” qualitative models.
Deep Knowledge Expert System for Diagnosis of Multiple-Failure Severe Transients in Nuclear Power Plant
Abstract TAMUS (Transient Analysis of MUltiple-failure Simulations) is a prototype expert system which is the result of a project investigating and implementing event confidence-levels (used by reactor safety experts in reactor transient analysis) in the form of an expert system. Currently, TAMUS is designed to diagnose reactor transients by analyzing simulated sensor and plant thermal hydraulic information from a system simulation. TAMUS uses a knowledge base of existing emergency nuclear plant operating guidelines and detailed thermal-hydraulic calculation results correlated to confidence-levels. TAMUS can diagnose a number of reactor transients (for example, loss-of-coolant accidents, steam-generator-tube ruptures, loss-of-offsite power, etc.). Future work includes the expansion of the knowledge base and improvement of the “deep-knowledge” qualitative models.
Deep Knowledge Expert System for Diagnosis of Multiple-Failure Severe Transients in Nuclear Power Plant
Martin, Robert P. (author) / Dr. Nassersharif, B. (author)
1988-01-01
8 pages
Article/Chapter (Book)
Electronic Resource
English
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