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A method for evaluating fault coverage using simulated fault injection for digitalized systems in nuclear power plants

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  • Kim, Suk Joon
  • Seong, Poong Hyun
  • Lee, Jun Seok
  • Kim, Man Cheol
  • Kang, Hyun Gook
  • Jang, Seung Cheol

Abstract

The fault coverage for digital system in nuclear power plants is evaluated using a simulated fault injection method. Digital systems have numerous advantages, such as hardware elements share and hardware replication of the needed number of independent channels. However, the application of digital systems to safety-critical systems in nuclear power plants has been limited due to reliability concerns. In the reliability issues, fault coverage is one of the most important factors. In this study, we propose an evaluation method of the fault coverage for safety-critical digital systems in nuclear power plants. The system under assessment is a local coincidence logic processor for a digital plant protection system at Ulchin nuclear power plant units 5 and 6. The assessed system is simplified and then a simulated fault injection method is applied to evaluate the fault coverage of two fault detection mechanisms. From the simulated fault injection experiment, the fault detection coverage of the watchdog timer is 44.2% and that of the read only memory (ROM) checksum is 50.5%. Our experiments show that the fault coverage of a safety-critical digital system is effectively quantified using the simulated fault injection method.

Suggested Citation

  • Kim, Suk Joon & Seong, Poong Hyun & Lee, Jun Seok & Kim, Man Cheol & Kang, Hyun Gook & Jang, Seung Cheol, 2006. "A method for evaluating fault coverage using simulated fault injection for digitalized systems in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 91(5), pages 614-623.
    • Handle: RePEc:eee:reensy:v:91:y:2006:i:5:p:614-623
    DOI: 10.1016/j.ress.2005.05.002
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    Cited by:

    1. Chuan Wang & Yupeng Liu & Wen Hou & Chao Yu & Guorong Wang & Yuyan Zheng, 2021. "Reliability and availability modeling of Subsea Autonomous High Integrity Pressure Protection System with partial stroke test by Dynamic Bayesian," Journal of Risk and Reliability, , vol. 235(2), pages 268-281, April.

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