DOI QR코드

DOI QR Code

Evaluation of effectiveness of fault-tolerant techniques in a digital instrumentation and control system with a fault injection experiment

  • 투고 : 2018.09.28
  • 심사 : 2018.11.23
  • 발행 : 2019.04.25

초록

Recently, instrumentation and control (I&C) systems in nuclear power plants have undergone digitalization. Owing to the unique characteristics of digital I&C systems, the reliability analysis of digital systems has become an important element of probabilistic safety assessment (PSA). In a reliability analysis of digital systems, fault-tolerant techniques and their effectiveness must be considered. A fault injection experiment was performed on a safety-critical digital I&C system developed for nuclear power plants to evaluate the effectiveness of fault-tolerant techniques implemented in the target system. A software-implemented fault injection in which faults were injected into the memory area was used based on the assumption that all faults in the target system will be reflected in the faults in the memory. To reduce the number of required fault injection experiments, the memory assigned to the target software was analyzed. In addition, to observe the effect of the fault detection coverage of fault-tolerant techniques, a PSA model was developed. The analysis of the experimental result also can be used to identify weak points of fault-tolerant techniques for capability improvement of fault-tolerant techniques

키워드

참고문헌

  1. H.G. Kang, M.C. Kim, S.J. Lee, H.J. Lee, H.S. Eom, J.G. Choi, S.C. Jang, An overview of risk quantification issues of digitalized nuclear power plants using static fault tree, Nucl. Eng. Technol. 41 (2009) 849-858. https://doi.org/10.5516/NET.2009.41.6.849
  2. S.J. Lee, J.G. Choi, H.G. Kang, S.C. Jang, Reliability assessment method for NPP digital I&C systems considering the effect of automatic periodic tests, Ann. Nucl. Energy 37 (2010) 1527-1533. https://doi.org/10.1016/j.anucene.2010.06.009
  3. S.J. Lee, W.D. Jung, J.E. Yang, PSA Model with consideration of the effect of fault-tolerant techniques in digital I&C systems, Ann. Nucl. Energy 87 (2015) 375-384. https://doi.org/10.1016/j.anucene.2015.07.039
  4. T. Aldemir, et al., Dynamic Reliability Modeling of Digital Instrumentation and Control Systems for Nuclear Reactor Probabilistic Risk Assessments. NUREG/CR-6942, United States Nuclear Regulatory Commission, Washington, D.C, 2007.
  5. J.B. Dugan, K.S. Trivedi, Coverage modeling for dependability analysis of faulttolerant systems, IEEE Trans. Comput. 38 (6) (1989) 775-787. https://doi.org/10.1109/12.24286
  6. J.S. Lee, M.C. Kim, P.H. Seong, H.G. Kang, S.C. Jang, Evaluation of error detection coverage and fault-tolerance of digital plant protection system in nuclear power plants, Ann. Nucl. Energy 33 (2006) 544-554. https://doi.org/10.1016/j.anucene.2006.01.003
  7. S.J. Kim, P.H. Seong, J.S. Lee, M.C. Kim, H.G. Kang, S.C. Jang, A method for evaluating fault coverage using simulated fault injection for digitalized systems in nuclear power plants, Reliab. Eng. Syst. Saf. 91 (2006) 614-623. https://doi.org/10.1016/j.ress.2005.05.002
  8. Douglas M. Chapin, et al., Digital Instrumentation and Control Systems in Nuclear Power Plants, National Academy Press, Washington, D.C, 1997.
  9. HSE, The Use of Computers in Safety-critical Applications, HSE Books, London, 1998.
  10. S. Authen, J. Holmberg, Reliability analysis of digital systems in a probabilistic risk analysis for nuclear power plants, Nucl. Eng. Technol. 44 (2012) 471-482. https://doi.org/10.5516/NET.03.2012.707
  11. H.G. Kang, T. Sung, An analysis of safety-critical digital systems for riskinformed design, Reliab. Eng. Syst. Saf. 78 (2002) 307-314. https://doi.org/10.1016/S0951-8320(02)00176-X
  12. M.C. Kim, S.J. Lee, Important factors affecting fault detection coverage in probabilistic safety assessment of digital instrumentation and control systems, J. Nucl. Sci. Technol. 51 (6) (2014) 809-817. https://doi.org/10.1080/00223131.2014.904760
  13. K.C. Kwon, M.S. Lee, Technical review on the localized digital instrumentation and control systems, Nucl. Eng. Technol. 41 (2009) 447-454. https://doi.org/10.5516/NET.2009.41.4.447
  14. J.H. Park, D.Y. Lee, C.H. Kim, Development of KNICS RPS prototype, in: Proceeding of ISOFIC-2005, Nov. 1-4, Tongyeong, Korea, 2005.
  15. J.G. Choi, et al., Fault detection coverage quantification of automatic test functions of digital I&C system in NPPs, Nucl. Eng. Technol. 44 (2012) 421-428. https://doi.org/10.5516/NET.04.2012.515
  16. S. Hur, D.H. Kim, I.K. Hwang, A New Automatic Periodic Test Method for the Digital Reactor Protection System, NPIC&HMIT, Knoxville, Tennessee, USA, 2009.
  17. T. Pinna, L.V. Boccaccini, J.F. Salavyv, Failure mode and effect analysis for the European test blanket modules, Reliab. Eng. Syst. Saf. 83 (2008) 1733-1737.
  18. M. Hsueh, T.K. Tsai, R.K. Iyer, Fault injection techniques and tools, IEEE Comput. 30 (1997) 75-82.
  19. Texas Instruments, Code Composer, User's Guide, 1994.

피인용 문헌

  1. A Novel Risk Assessment and Analysis Method for Correlation in a Complex System Based on Multi-Dimensional Theory vol.10, pp.9, 2019, https://doi.org/10.3390/app10093007