Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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Data Analysis Platform Construct of Fault Prediction and Diagnosis of RCP(Reactor Coolant Pump)

원자로 냉각재 펌프 고장예측진단을 위한 데이터 분석 플랫폼 구축

  • 김주식 (한국수력원자력(주) 디지털혁신추진단) ;
  • 조성한 (한국수력원자력(주) 디지털혁신추진단) ;
  • 정래혁 ((주)스마트프로) ;
  • 조은주 ((주)이노팩토리 신사업팀) ;
  • 나영균 ((주)이노팩토리 신사업팀) ;
  • 유기현 ((주)이노팩토리 신사업팀)
  • Received : 2021.03.02
  • Accepted : 2021.06.17
  • Published : 2021.06.30
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Abstract

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.

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References

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