Development of an intelligent database system for trip data analysis (IDSTA)

Abstract

The Intelligent Database System for Trip data Analysis (IDSTA) is developed to find relations between initiating event categories and trip data, and to search the corresponding initiating event category. This system consists of three parts : an inference engine, a knowledge base, and a user interface, and it is implemented on an IBM compatible PC - AT. The language used in this system is PROLOG and the method used to classify initiating event categories is rule-based deduction. This system was applied to trip data of Kori Nuclear Units 1, 2, 3 and 4 as a prototype and can be applied to all nuclear power plants. This system has consistency in finding out initiating event category from trip data and provides more exact information on the initiating event category.