Journal of Advanced Marine Engineering and Technology

The Korean Society of Marine Engineering (한국마린엔지니어링학회)
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A development of integrated monitoring and diagnosis system for marine diesel engine using time-series data

시계열 데이터를 이용한 선박용 디젤엔진 통합 감시 및 진단 시스템의 개발

  • Rhyu, Keel-Soo (Division of Information Technology Engineering, Korea Maritime and Ocean University) ;
  • Park, Jong-Il (Korea Soft Co.) ;
  • Hwang, Hun-Gyu (Department of Computer Engineering, Graduate School of Korea Maritime and Ocean University) ;
  • Park, Dong-Wook (Department of Computer Engineering, Graduate School of Korea Maritime and Ocean University)
  • Received : 2014.05.23
  • Accepted : 2014.07.17
  • Published : 2014.07.31
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Abstract

The monitoring and abnormality warning of marine diesel engine are important to take appropriate responses for safety navigation. If maintenance engineers do not take appropriate response because of diagnosis mistakes, it will occur a nasty accident. Therefore, we need integrated monitoring and diagnosis system for supporting a diagnosis objectively. In this paper, we analyze time-series data which measured by real-time, monitor the changing of conditions and trends of the analyzed data. Furthermore, we design and implement a monitoring and diagnosis system for objective supporting of real-time diagnosis. When the integrated monitoring and diagnosis system is adopted, it can help to improve stability of marine diesel engine by providing abnormality warning alarm with appropriate responses.

선박용 디젤엔진의 상태 감시 및 이상 경보에 대한 신속하고 적절한 조치는 선박 운항에 있어서 안전성 및 경제성을 위해서 매우 중요하다. 만약 유지보수 업무를 담당하는 엔지니어의 고장원인에 대한 진단 오류 등으로 인하여 적절한 조치를 취하지 못하게 되면 이는 곧 대형 사고로 이어질 수 있다. 따라서 선박용 디젤엔진의 객관적인 진단에 도움을 주는 통합 감시 및 진단 시스템이 필요하다. 본 논문에서는 실시간으로 측정된 시계열 데이터를 분석한 후, 분석된 데이터의 상태 및 변화 추이를 감시하고 이를 기반으로 진단에 도움을 주기 위한 목적을 가진 시스템의 개발에 관한 내용을 다룬다. 이러한 감시 및 진단을 수행함으로써 이상이 발생하면 신속하게 경보를 제공하여 적절한 조치를 취할 수 있게 되어 선박용 디젤엔진의 안정성이 향상된다.

Keywords

References

  1. J. K, Lee, Principle and Development of Expert System, Bubyoungsa, Korea, 1996 (in Korean).
  2. K. J. Mo, C. W. Jung, K. B. Lee, and I. S. Yoon, "Development of operation aided system for fault diagnosis of chemical process," Journal of the Society of Expert System, vol. 2, no. 1, pp. 11-26, 1996.
  3. H. Y. Jung, H. S. Park, "Development of diagnosis system based on alarm processing," Journal of the Society of Expert System, vol. 4, no. 1, pp. 103-113, 1998.
  4. J. I. Park, K. S. Rhyu, D. H. Kim, and S. W. Park, "A study on monitoring and diagnosis system of standby diesel generators," Proceedings of the Korean Society of Marine Engineering Spring Conference, pp. 241-242, 2008.
  5. K. S. Rhyu, S. W. Park, J. I. Park, and D. H. Seo, "A study on integrated monitoring and diagnosis method using trend of time-series data," Proceedings of the Korean Society of Marine Engineering Fall Conference, pp. 249-249, 2012.
  6. W. H. Choi, A Study on the Development of a Ship Engine Diagnosis Expert System using Hybrid Knowledge Representation, M.S. Thesis, Department of Control Engineering, Korea Maritime University, 1999.
  7. W. W. Lee, Time-series Data Analysis : Statistical Methods for Prediction, Freedom Academy, Korea, 2009(in Korean).