Wednesday, October 28
3:05-3:25 PM
UTC
Junior Ballroom B

ES-SHELL: An Expert System for Nuclear Power Plant Operators

Brief Paper ID: 27236
  1. Hassan Qudrat-Ullah
    York University

Abstract: Decision making and learning in complex systems such as nuclear power plants is a difficult task at best. The operators are susceptible to various operational mistakes causing the high risk accidents and safety issues. Therefore, the role of expert systems in the offline training program for the operators is ever increasing. In this paper, we develop an Expert System Shell, “ES_SHELL”, assist, off-line, KANUPP operators and plant personnel in a better familiarization to infer the anticipated and foreseen malfunctions from the observed symptoms. The “ES_SHELL” has been implemented in the Turbo Prolog language. Its inferencing mechanism is of the “Rule-based” type and to search the knowledge base it adopts the “Depth First” technique. The performance of the ES_SHELL on “LOCA Diagnostics” at KANUPP has been found satisfactory. In the next phase of the project, the development of Web-based ES_SHELL is to ensue.

Presider: Andrea Payrhuber, University of Vienna

Topic

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