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

  1. Hassan Qudrat-Ullah, York University, Canada
Wednesday, October 28 3:05-3:25 PM Junior Ballroom B

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” ...