원자로 냉각재 펌프 고장예측진단을 위한데이터 분석 플랫폼 구축

• 영문명: Data Analysis Platform Construct of Fault Prediction and Diagnosis of RCP(Reactor Coolant Pump)
• 발행기관: 한국IT서비스학회
• 저자명: 김주식(Ju Sik Kim) 조성한(Sung Han Jo) 정래혁(Rae Hyuck Jeoung) 조은주(Eun Ju Cho) 나영균(Young Kyun Na) 유기현(Ki Hyun You)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제20권 제3호, 1~12쪽, 전체 12쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2021.06.30

영문 초록

Reactor Coolant Pump (RCP) is core part of nuclear power plant to provide the forced circulation of reactor coolant for the removal of core heat. Properly monitoring vibration of RCP is a key activity of a successful predictive maintenance and can lead to a decrease in failure, optimization of machine performance, and a reduction of repair and maintenance costs. Here, we developed real-time RCP Vibration Analysis System (VAS) that web based platform using NoSQL DB (Mongo DB) to handle vibration data of RCP. In this paper, we explain how to implement digital signal process of vibration data from time domain to frequency domain using Fast Fourier transform and how to design NoSQL DB structure, how to implement web service using Java spring framework, JavaScript, High-Chart. We have implement various plot according to standard of the American Society of Mechanical Engineers (ASME) and it can show on web browser based on HTML 5. This data analysis platform shows a upgraded method to real-time analyze vibration data and easily uses without specialist. Furthermore to get better precision we have plan apply to additional machine learning technology.

목차

1. 서 론

2. 배경 기술

3. 시스템 설계

4. 시스템 구현

5. 주요 기능 및 구현결과

6. 결 론

참고문헌

키워드

Big Data RCP NoSQL VAS Platform Web Service Mongo DB