한국CDE학회논문집 (Korean Journal of Computational Design and Engineering)

  • 제19권3호
  • /
  • Pages.203-213
  • /
  • 2014
  • /
  • 2508-4003(pISSN)
  • /
  • 2508-402X(eISSN)
한국CDE학회 (Society for Computational Design and Engineering)
권호 표지
DOI QR코드

DOI QR Code

해양플랜트 LNG FPSO 압축기의 신뢰성 및 회귀분석 기반 고장시점 추정 방법

A Study on Estimating the Next Failure Time of LNG FPSO Compressor

  • 투고 : 2014.04.11
  • 심사 : 2014.07.09
  • 발행 : 2014.09.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The O&M (Operation and Maintenance) phase of offshore plants with a long life cycle requires heavy charges and more efforts than the construction phase, and the occurrence of an accident of an offshore plant causes catastrophic damage. So previous studies have focused on design for reliability, and recently many studies have dealt with a maintenance system to prevent unexpected failures. Nowadays due to the emerging ICTs (Information Communication Technologies) and sensor technologies, it is possible to send health monitoring information of important equipment to administrator of an offshore plant in real time, which leads to having much concern on condition based maintenance policy or predictive maintenance. In this study, we have reviewed previous studies associated with condition-based maintenance of offshore plants, and introduced the approaches predicting failures of the compressor which is one of essential mechanical devices in LNG FPSO.

키워드

참고문헌

  1. Kim, Y.S., 2012, CBM Approach for Facility Equipment, Technical Report, Procon Co., No.2, pp.96-103.
  2. Park, J.H. et al., 2011, Aerodynamic Design and Numerical Study of a Propane-refrigerant Centrifugal Compressor for LNG Plant, Transactions of the Korean Society of Mechanical Engineers B, 35(8), pp.781-787. https://doi.org/10.3795/KSME-B.2011.35.8.781
  3. Bae, J.H. et al., 2012, A Study on Risk Quantifying Method for The Worker Accidents of Offshore Plant Considering Uncertainty, Proceedings of the Society of Naval Architects of Korea, pp.113-118.
  4. Lee, K.H. and Lee, J.M., 2011, A Study on Augmented Reality Technologies in the Operation and Maintenance Phase of Offshore Plants, Proceedings of the Society of Naval Architects of Korea, pp.106-111.
  5. Lee, B.K., 1999, Vibration and Maintenance Handbook for Field Engineers, pp.18-94.
  6. Lee, S.K., 2012, State-of-the-art for LNG-FPSO Technology, Journal of the Korean Society of Marine Engineering, 36(1), pp.62-78.
  7. Jang, D.H. et al., 2011, Developing the Maintenance System for Offshore Plant and Ship, Proceedings of the Society of Naval Architects of Korea, pp.1262-1271.
  8. Jeon, J., Lee, J.H. and Son, G.J., 2012, Development of PEID for Acquiring Maintenance Information During Product Lifecycle of Marine Vessels, Journal of the Korean Society of Ocean Engineers, 26(5), pp.63-72. https://doi.org/10.5574/KSOE.2012.26.5.063
  9. Shim, J.G., 2002, State-of-the Art: Compressor, The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea, 31(11), pp.20-26.
  10. Arunraj, N.S. and Maiti, J., 2010, Risk-based Maintenance Policy Selection Using AHP and Goal Programming, Safety Science, 48(2), pp.238-247. https://doi.org/10.1016/j.ssci.2009.09.005
  11. Dey, P.K., Ogunlana, S.O. and Naksuksakul, S., 2004, Risk-based Maintenance Model for Offshore Oil and Gas Pipelines: A Case Study, Journal of Quality in Maintenance Engineering, 10(3), pp.169-183. https://doi.org/10.1108/13552510410553226
  12. Djurdjanovic, D., Lee, J. and Ni, J., 2003, Watchdog Agent-an Infotronics-based Prognostics Approach for Product Performance Degradation Assessment and Prediction, Advanced Engineering Informatics, 17(3), pp.109-125. https://doi.org/10.1016/j.aei.2004.07.005
  13. Fu, C., Ye, L., Liu, Y., Yu, R., Iung, B., Cheng, Y. and Zeng, Y., 2004, Predictive Maintenance in Intelligent-control-maintenance-management System for Hydroelectric Generating Unit, IEEE Transactions on Energy Conversion, 19(1), pp.179-186. https://doi.org/10.1109/TEC.2003.816600
  14. Grall, A., Dieulle, L., Bérenguer, C. and Roussignol, M., 2002, Continuous-time Predictivemaintenance Scheduling for a Deteriorating System, IEEE Transactions on Reliability, 51(2), pp.141-150. https://doi.org/10.1109/TR.2002.1011518
  15. Jun, H.B., Conte, F.L., Kiritsis, D. and Xirouchakis, P., 2009, A Predictive Algorithm for Estimating the Quality of Vehicle Engine Oil, International Journal of Industrial Engineering: Theory, Applications and Practice, 15(4), pp.386-396.
  16. Lee, J., 2001, E-intelligence Strategies for Product and Manufacturing Innovation, Transaction of Chinese Mechanical Engineer, 12(5), pp.526-531.
  17. Lin, D., Wiseman, M., Banjevic, D. and Jardine, A.K., 2004, An Approach to Signal Processing and Condition-based Maintenance for Gearboxes Subject to Tooth Failure, Mechanical Systems and Signal Processing, 18(5), pp.993-1007. https://doi.org/10.1016/j.ymssp.2003.10.005
  18. Lu, H., Kolarik, W.J. and Lu, S.S., 2001, Real- Time Performance Reliability Prediction, IEEE Transaction on Reliability, 50(4), pp.353-357. https://doi.org/10.1109/24.983393
  19. Moan, T., 2005, Reliability-based Management of Inspection, Maintenance and Repair of Offshore Structures, Structure and Infrastructure Engineering, 1(1), pp.33-62. https://doi.org/10.1080/15732470412331289314
  20. Rouhan, A. and Schoefs, F., 2003, Probabilistic Modeling of Inspection Results for Offshore Structures, Structural Safety, 25(4), pp.379-399. https://doi.org/10.1016/S0167-4730(03)00016-X
  21. Saranga, H. and Knezevic, J., 2001, Reliability Prediction for Condition-based Maintained Systems, Reliability Engineering and System Safety, 71(2), pp.219-224. https://doi.org/10.1016/S0951-8320(00)00094-6
  22. Rigdon, S.E. and Basu, A.P., 2000, Statistical Methods for the Reliability of Repairable Systems. New York: Wiley.
  23. Wang, W. and Majid, H.B.A., 2000, Reliability Data Analysis and Modelling of Offshore Oil Platform Plant, Journal of Quality in Maintenance Engineering, 6(4), pp.287-295. https://doi.org/10.1108/13552510010346824
  24. Mayer, R.J., 1994, IDEF0 Function Modeling, Technical Report, Knowledge Based Systems, Inc.
  25. Ebeling, C.E., 1997, An Introduction to Reliability and Maintainability Engineering, Waveland Press, Inc.
  26. Hussin, H., Hashim, F.M., Muhammad, M. and Ibrahim, S.N., 2010, A Systematic and Practical Approach of Analyzing Offshore System Maintenance Data, Proceedings of the International Multiconference of Engineers and Computer Scientists, Vol. III.