Nuclear Engineering and Technology

  • 제46권6호
  • /
  • Pages.753-772
  • /
  • 2014
  • /
  • 1738-5733(pISSN)
  • /
  • 2234-358X(eISSN)
한국원자력학회 (Korean Nuclear Society)
권호 표지
DOI QR코드

DOI QR Code

FUNCTIONAL MODELLING FOR FAULT DIAGNOSIS AND ITS APPLICATION FOR NPP

  • Lind, Morten (Department of Electrical Engineering, Technical University of Denmark) ;
  • Zhang, Xinxin (Department of Electrical Engineering, Technical University of Denmark)
  • 투고 : 2014.11.12
  • 발행 : 2014.12.25
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The paper presents functional modelling and its application for diagnosis in nuclear power plants. Functional modelling is defined and its relevance for coping with the complexity of diagnosis in large scale systems like nuclear plants is explained. The diagnosis task is analyzed and it is demonstrated that the levels of abstraction in models for diagnosis must reflect plant knowledge about goals and functions which is represented in functional modelling. Multilevel flow modelling (MFM), which is a method for functional modelling, is introduced briefly and illustrated with a cooling system example. The use of MFM for reasoning about causes and consequences is explained in detail and demonstrated using the reasoning tool, the MFMSuite. MFM applications in nuclear power systems are described by two examples: a PWR; and an FBR reactor. The PWR example show how MFM can be used to model and reason about operating modes. The FBR example illustrates how the modelling development effort can be managed by proper strategies including decomposition and reuse.

키워드

참고문헌

  1. IAEA, "On-Line Monitoring for Improving Performance of Nuclear Power Plants Part 2: Process and Component Condition Monitoring and Diagnosis", International Atomic Energy Agency report No. NP-T-1.2., 2008.
  2. M. Lind "Modeling Goals and Functions of Complex Industrial Plants." Applied Artificial Intelligence, vol. 8(2), pp. 259-283 (1994). https://doi.org/10.1080/08839519408945442
  3. M. Polanyi, Personal Knowledge, Routledge Kegan Paul, London England, (1962).
  4. M. Bunge, Treatise on Basic Philosophy Vol 2- Semantics II: Interpretation and Truth. Dordrecht, Holland: D. Reidel Publishing Company (1974).
  5. S.S. Jorgensen, "Fault diagnosis using generic Multilevel Flow Modelling Models." PhD thesis (93-A-700), Institute of Automatic Control Systems DTU, 2800 Kgs. Lyngby Denmark. 1993.
  6. Lind, M., "Introduction to Multilevel Flow Modeling," International Journal of Nuclear Safety and Simulation, vol. 2(1), (2011).
  7. M. Lind, "An Overview of Multilevel Flow Modeling," International Journal of Nuclear Safety and Simulation, vol. 4, pp. 186-191 (2013).
  8. Lind, M., "Control Functions in MFM, " International Journal of Nuclear Safety and Simulation,.
  9. M. Lind, "Knowledge Representation for Integrated Plant Operation an Maintenance," Proc. 7'th ANS Meeting on Nuclear Plant Instrumentation, Control and Human-Machine Interface Technologies NPIC&HMIT2010, Las Vegas, Nevada, November 7-11, (2010).
  10. A. Gofuku, "Applications of MFM to intelligent systems for supporting plant operators and designers: functionbased inference techniques," International Journal of Nuclear Safety and Simulation, vol. 2(3), (2011).
  11. Lind, M. and Zhang, X.,"Applying Functional Modeling for Accident Management of Nuclear Plant," accepted for publication in International Journal of Nuclear Safety and Simulation (September issue 2014).
  12. K. Heussen and M. Lind, "On support functions for development of MFM models," Proc. First Int. Symposium Socially and Technically Symbiotic Systems, August 29-31 2012, Okayama Japan, (2012).
  13. Thunem, H. and Zhang, X. "Advanced Control and Automation Support; Continued Development of the MFMSuite. Proc. Enhanced Halden Programme Group Meeting, HWR-1117, Roros Norway, June 2014.
  14. M. Lind. "Reasoning about Causes and Consequences in Multilevel Flow Models," Proceedings of ESREL 2011, Troyes France, September, (2011).
  15. Zhang, X., Thunem, H., Lind, M., Jorgensen, S. B. and Jensen, N. "Practical application of the MFM Suite on a PWR simulator: modelling and reasoning on causes and consequences of process anomalies," Proc. Enhanced Halden Programme Group Meeting, HWR-1118, Roros Norway, June 2014.
  16. M. Yang, Z. Zhang, M. Peng and S.Yan. "Modeling Nuclear Power Plant with Multilevel Flow Models and its Applications in Reliability Analysis." Proc. Int. Symp. on Symbiotic Nuclear Power Systems for the 21'th Century (ISSNP), Tsuruga Japan, July 9-11 (2007).
  17. M. Lind, H. Yoshikawa, S. B. Jorgensen, M. Yang, K. Tamayama and K. Okusa, "Multilevel Flow Modeling of Monju Nuclear Power Plant," Proc. ICI2011, Daejon Korea (2011).
  18. M. Lind, H. Yoshikawa, S. B. Jorgensen, M. Yang, "Modeling operating modes for the MONJU nuclear power plant," International Journal of Nuclear Safety and Simulation, vol. 3(4), pp. 314-324 (2012).

피인용 문헌

  1. A technique to generate plausible counter-operation procedures for an emergency situation based on a model expressing functions of components vol.54, pp.5, 2017, https://doi.org/10.1080/00223131.2017.1292966
  2. A cascade intelligent fault diagnostic technique for nuclear power plants pp.1881-1248, 2018, https://doi.org/10.1080/00223131.2017.1394228
  3. Functional Modeling for Monitoring of Robotic System vol.32, pp.3, 2018, https://doi.org/10.1080/08839514.2018.1447431
  4. Techniques to derive additional information of operation actions for computer-based operating procedure vol.55, pp.6, 2018, https://doi.org/10.1080/00223131.2018.1428122