Abstract
A real-time knowledge-based operator advisory system (Maryland Operator Advisory System; MOAS) is being developed at the University of Maryland using PICON (real-time expert system shell for process control). MOAS is an expert system designed to assist the plant operators during transient conditions initiated by the Condensate and Feed Water System (CFWS) of a pressurized water reactor. The MOAS performs 1) intelligent prealarming and alarming, 2) real-time sensor validation and sensor conflict resolution, 3) realtime hardware failure diagnosis, and 4) real-time corrective measure synthesis. The core of the MOAS knowledge base is constructed using an integrated deep-knowledge approach called Goal Tree-SuccessTree (GTST). The process domain knowledge of the CFWS is completely and rigorously modeled in the GTST format, which is then used to build up the knowledge base of the expert system. This paper will briefly describe the GTST model, design of the current MOAS and our ongoing and future efforts.
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© 1988 Plenum Press, New York
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Kim, I.S., Modarres, M. (1988). MOAS: A Real-Time Operator Advisory System. In: Majumdar, M.C., Majumdar, D., Sackett, J.I. (eds) Artificial Intelligence and Other Innovative Computer Applications in the Nuclear Industry. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1009-9_37
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DOI: https://doi.org/10.1007/978-1-4613-1009-9_37
Publisher Name: Springer, Boston, MA
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