대한전기학회논문지:시스템및제어부문D (The Transactions of the Korean Institute of Electrical Engineers D)

대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지

플랜트 보호 제어기의 신뢰도분석과 유전알고리듬을 이용한 다중성의 최적화

Optimization of Redundancy by using Genetic Algorithm for Reliability of Plant Protection Controller

  • 발행 : 2000.09.01
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초록

The reliability of system is to become a important concern in developed industry. The controller based on the reliability is so important position. PPC(Plant Protection Controller) is for plant protection and human life by fault detection and control action against the transient condition of plant. The protection system of the nuclear reactor and chemical reactor are representative of PPC. This paper presents analysis of PPC relaibility formal problem statement of optimal redundancy based on the reliability for PPC. And the problem is optimized by genetic algorithm, The genetic algorithms is useful algorithm in case of large searching complex gradient existence local minimum. The genetic algorithms is useful algorithm is case of large searching complex gradient existence local minimum. The ability and effectiveness of the proposed optimization is demonstrated by the target reliability of one channel. PPC. using the failure rate based on the MIL-HDBK-217

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참고문헌

  1. Richard E. Barlow, Reliability and Decision Engineering, Chapman & Hall, 1993
  2. Patrick D. T, Practical Reliability Engineering, John Wiley & Sons, 1996
  3. Barry W, Johnson, Design and Analysis of Fault Tolerance Digital Systems, Addison Wesley, 1989
  4. C. Galikowsky 'Optimal redundancies for reliability and availability of series systems' Microelectron. Reliability, vol. 36, no. 10, pp. 1537-1546, 1996 https://doi.org/10.1016/0026-2714(95)00209-X
  5. 유동완, 성승환, 김동훈, 박희윤, 구인수 '플랜트 보호 시스템의 신뢰도분석과 유전알고리듬을 이용한 다중성의 최적화', 한국원자력학회 춘계학술발표회 논문집, May, 2000
  6. M. Schoenauer, Z. Michaelewicz, 'Sphere operators and their applicability for constrained parameter optimization problems.' In 7th Annual Conference on Evolutionary Programming, 1997
  7. Goldberg. D. E., Genetic algorithms in search, optimization and Machine learning, Addison Wesley, 1989
  8. Michaelwicz., Genetic Algorithms + Data Structures = Evolution Programs, Springer-Verlag, 1994
  9. 유동완, 이영석, 박윤호, 서보혁 '유전 알고리즘을 이용한 자기 동조 퍼지제어기의 하이브리드 최적화 기법', 대한전기학회 논문지 vol 48권 no 1호 1999.1
  10. M. Runwei Cheng., Genetic Algorithms And Engineering Design, A Wiley-Interscience Publication, 1996
  11. 이정찬 외 '노냉각수 제어계통의 신뢰도해석에 관한 연구' 한국원자력학회지 Vol. 15, No. 1, pp. 11 - 12 pages, 1983
  12. 구인수 외 , 일체형원자로 MMIS설계기술 개발 KAERI/RR-1901/98