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Part of the book series: International Series in Intelligent Technologies ((ISIT,volume 8))

Abstract

Fuzzy logic applications in nuclear industry present a tremendous challenge. The main reason for this is the public awareness of the risks of nuclear industry and the very strict safety regulations in force for nuclear power plants. The very same regulations prevent a researcher from quickly introducing novel fuzzy-logic methods into this field. On the other hand, the application of fuzzy logic has, despite the ominous sound of the word “fuzzy” to nuclear engineers, a number of very desirable advantages over classical methods, e.g., its robustness and the capability to include human experience into the controller.

In this chapter, we review the available literature on fuzzy logic applications in nuclear industry, then present the initiative and progress of FLINS (Fuzzy Logic and Intelligent technologies in Nuclear Science) at the Belgian Nuclear Research Centre (SCK · CEN), and finally provide up-to-date coverage of new references on the subject from the first and second FLINS international workshops.

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References

  1. H.L. Akin and V. Altin, Ride-based fuzzy logic controller for a PWR-type nuclear power plant, IEEE Trans. Nucl. Sci. 38(2) (1991) 883–890.

    Article  Google Scholar 

  2. J. A. Bernard, Use of a rule-based system for process control, IEEE Control Systems Magazine 8(5) (1988) 3–13.

    Article  Google Scholar 

  3. M. Bubak, J. Moscinski and J. Jewulski, Fuzzy-logic approach to HTR nuclear power plant model control, Ann. Nucl Energy 10(9) (1983) 467–471.

    Article  Google Scholar 

  4. C.K. Cheng, L. Chaung and C.H. Chang, Fuzzy logic control of steam generator water level in pressurized water reactors, Nuclear Technology 100 (1992) 125–134.

    Google Scholar 

  5. Y.-J. Han and B.-W. Lee, Fuzzy power control algorithm for a pressurized water reactor, Nuclear Technology 106 (1994) 242–253.

    Google Scholar 

  6. S. Heger, N. K. Alang-Rashid and M. Jamshidi, Application of fuzzy logic in nuclear reactor control Part I: An assessment of state-of-the-art, Nuclear Safety 36(1) (1995) 109–121.

    Google Scholar 

  7. K. E. Holbert, A. Sharif Heger and N. K. Alang-Rashid, Redundant sensor validation by fuzzy logic, Nuclear Science and Engineering 118 (1994) 54–64.

    Google Scholar 

  8. T. Iijima, Y. Nakajima and Y. Nishiwaki, Application of fuzzy logic control systems for reactor feed-water control, Fuzzy Sets and Systems 74(1) (1995) 61–72.

    Article  Google Scholar 

  9. C. H. Jung, C. S. Ham and K. L. Lee, A real time self tuning fuzzy controller for the steam generator through scaling factor adjustment for the steam generator of NPP, Fuzzy Sets and Systems 74(1) (1995) 53–60.

    Article  Google Scholar 

  10. M. Kinoshita, T. Fukuzaki, T. Stoh and M. Miyake, An automatic operation method for control rods in BWR plants, in: In-Core Instrumentation and Reactor Core Assessment, Proceedings of Specialists’Meeting, Cadarache, France (1988) 213–220.

    Google Scholar 

  11. C. C. Kuan, C. Lin and C. C. Hsu, Fuzzy logic control of steam generator water level in pressurized water reactors, Nucl Technol 100(1) (1992) 125–134.

    Google Scholar 

  12. E.H. Mamdani and S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, International Journal of Machine Studies 7 (1) (1975) 1–13.

    Article  MATH  Google Scholar 

  13. H. Matsuoka, A simple fuzzy simulation model for nuclear reactor system dynamics, Nuclear Technology 94 (1991) 228–241.

    Google Scholar 

  14. E. Mund, Do nuclear engineering education and research still have a future?, in: D. Ruan, Ed., Basic Concepts in Nuclear Research—Core Activities at the Belgian Nuclear Research Centre, BLG 653, Nuclear Research Centre, Belgium (1994).

    Google Scholar 

  15. Y. Nishiwaki, Private Communication (1994).

    Google Scholar 

  16. T. Onisawa, An approach to human reliability in man-machine systems using error possibility, Fuzzy Sets and Systems 27 (1988) 87–103.

    Article  MathSciNet  MATH  Google Scholar 

  17. T. Onisawa and Y. Nishiwaki, Fuzzy human reliability and analysis on the Chernobyl accident, Fuzzy Sets and Systems 28 (1988) 115–127.

    Article  Google Scholar 

  18. D. Ruan, FLINS, a bridge between fuzzy logic and the nuclear industrial world, International Symposium on Fuzzy Logic (Zurich, Zwitzerland, May 26–27, 1995).

    Google Scholar 

  19. D. Ruan, The BR1 research facilities to calibrate fuzzy logic technology for nuclear reactor control, in: Proceedings of BNS’96 (World Scientific, Singapore, 1996) 372–381.

    Google Scholar 

  20. D. Ruan and P. D’hondt, Fuzzy Systems in Nuclear Applications, in: First European Congress on Fuzzy and Intelligent Technologies (Aachen, Germany, September 7–10, 1993) 87–90.

    Google Scholar 

  21. D. Ruan, P. D’hondt, P. Govaerts and E.E. Kerre, Eds., Fuzzy Logic and Intelligent Technologies in Nuclear Science (World Scientific, Singapore, 1994).

    Google Scholar 

  22. D. Ruan, P. D’hondt, P. Govaerts and E. E. Kerre, Eds., Intelligent Systems and Soft Computing for Nuclear Science and Industry (World Scientific, Singapore, 1996).

    Google Scholar 

  23. D. Ruan, L. Van Den Durpel and P. D’hondt, Fuzzy engineering in nuclear research applications, in: FUZZ-IEEE/IFES’95 (Yokohama, Japan, March 20–24, 1995) 211–218.

    Google Scholar 

  24. D. Ruan, X. Yin, L. Van Den Durpel and P. D’hondt, Application of fuzzy logic control for nuclear reactor control, in: Proceedings of the 1996 International Fuzzy Systems and Intelligent Control Conference (1996) 158–166.

    Google Scholar 

  25. D. Ruan, Z. Liu, L. Van Den Durpel, P. D’hondt and A. J. van der Wal, Progress of fuzzy logic control applications for the Belgian nuclear reactor 1, in: EUFIT’96 (Aachen, Germany, September 2–5, 1996).

    Google Scholar 

  26. A.Sohier, M. Van Camp, D. Ruan and P. Govaerts, Methods for radiological assessment in the near field during the early phase of an accidental release of radioactive material using an incomplete data base, Radiation Protection Dosimetry 50(2–4) (1993) 321–325.

    Google Scholar 

  27. T. Terano, Private communication (1993).

    Google Scholar 

  28. S. Terunuma, K. Kishiwada, H. Takahashi, T. Iijima and H. Hayashi, Application of fuzzy algorithms for the feed-water control system in Fugen HWR, in: Proceedings of an International Conference on Man-Machine Interface in the Nuclear Industry (1988) 463–473.

    Google Scholar 

  29. B. Van de Walle, D. Ruan and E. E. Kerre, Implementing the Generalised Modus-Ponens in a Fuzzy Rule-Based for an Atmospheric Stability Monitoring Study, in: IEEE World Congress on Computational Intelligence (Orlando, Florida, USA, June 26-July 2, 1994) 1081–1086.

    Google Scholar 

  30. A.J. van der Wal, Application of fuzzy logic control in industry, Fuzzy Sets and Systems 74(1) (1995) 33–41.

    Article  Google Scholar 

  31. J. Yen, R. Langari and L. A. Zadeh (Eds.), Industrial Applications of Fuzzy Logic and Intelligent Systems, IEEE Press (1995).

    MATH  Google Scholar 

  32. L.A. Zadeh, Fuzzy sets, Information and Control 8 (1965) 338–353.

    Article  MathSciNet  MATH  Google Scholar 

  33. H.-J. Zimmermann, Fuzzy Sets, Decision Making, and Expert Systems (Kluwer Academic Publishers, Boston, 1987).

    Book  Google Scholar 

  34. H.-J. Zimmermann, Recent Developments in Fuzzy Logic and Intelligent Technologies, in: FI1NS’94 (World Scientific Publishers, Singapore, 1994) 3–7.

    Google Scholar 

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© 1996 Kluwer Academic Publishers

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Ruan, D. (1996). Fuzzy Logic Applications in Nuclear Industry. In: Ruan, D. (eds) Fuzzy Logic Foundations and Industrial Applications. International Series in Intelligent Technologies, vol 8. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-1441-7_15

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  • DOI: https://doi.org/10.1007/978-1-4613-1441-7_15

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4612-8627-1

  • Online ISBN: 978-1-4613-1441-7

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