Study on Faults Diagnosis of Nuclear Pressure Boundary Components using Pattern Recognition of Nuclear Power Plant Simulator Data

원자력발전소 시뮬레이터 데이터의 패턴인식을 이용한 압력경계기기 고장 진단 연구

We diagnosed the defect using the data obtained from the nuclear power plant simulator. In this paper, we diagnosed faults in the nuclear power plant system for discovery instead of the traditional single-component or device unit. We created the six fault scenarios and used a fault simulator to obtain the fault data. It was extracted pattern from acquired failure data. Neural network model was trained and simple pattern matching algorithm was applied. We presented a simulation result and confirmed that the applied algorithm works correctly.