| Publication Date |
2004 |
| Personal Author |
Chu, T. L.; Martinez-Guridi, G.; Lehner, J.; Overland, D. |
| Page Count |
16 |
| Abstract |
The current U.S. Nuclear Regulatory Commission (NRC) licensing process of instrumentation and control (I&C) systems is based on deterministic requirements, e.g., single failure criteria, and defense in depth and diversity. Probabilistic considerations can be used as supplements to the deterministic process. The National Research Council has recommended development of methods for estimating failure probabilities of digital systems, including commercial off-the-shelf (COTS) equipment, for use in probabilistic risk assessment (PRA). NRC staff has developed informal qualitative and quantitative requirements for PRA modeling of digital systems. Brookhaven National Laboratory (BNL) has performed a review of the-state-of-the-art of the methods and tools that can potentially be used to model digital systems. The objectives of this paper are to summarize the review, discuss the issues associated with probabilistic modeling of digital systems, and identify potential areas of research that would enhance the state of the art toward a satisfactory modeling method that could be integrated with a typical probabilistic risk assessment. |
| Keywords |
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| Source Agency |
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| Corporate Authors |
Brookhaven National Lab., Upton, NY.; Department of Energy, Washington, DC.; Lawrence Livermore National Lab., CA. |
| Supplemental Notes |
Prepared in cooperation with Lawrence Livermore National Lab., CA. Sponsored by Department of Energy, Washington, DC. |
| Document Type |
Technical Report |
| NTIS Issue Number |
200514 |
