Guidelines on Modeling Common-Cause Failures in Probabilistic Risk Assessment

Mosleh, A., Rasmuson, & Marshall, F. M. (1998). Guidelines on Modeling Common-Cause Failures in Probabilistic Risk Assessment.

Type

Web resource

Intellectual base

Web

Year

1998

Link

https://www.nrc.gov/docs/ML0708/ML070880073.html

Cited from

statistics_experimental_design

Cited by

2 citations across 2 artifacts.

Each citation links to the sentence it supports in the citing article.

Primes

• Paradox of Unanimity
  • In sensor fusion and reliability engineering, perfect agreement across redundant channels signals common-mode failure — a shared calibration error or power-supply transient — rather than confirmed measurement, and fault-tree and Byzantine-fault analysis encode this.

    Supported in partVerified against the work's full text

    The NRC guideline supports shared causes (e.g. a common calibration procedure) defeating redundancy and their encoding in fault trees, not the 'perfect agreement' inference or Byzantine analysis.

    “What makes the two valves fail together, however, is a common calibration procedure, and perhaps a contributor is common maintenance personnel.”

    Read by an automated reader; not a human review. How support was checked

Mechanisms

• Probabilistic Safety Assessment
  • It can convey false precision

    This sourceShows that common-cause-failure estimates require explicit treatment of dependence and model, data, and statistical uncertainty because precise-looking results can outrun what the model justifies.

Verification

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Links previously used in the corpus

Before the registry existed this work was also linked 1 other way.

• https://nrcoe.inl.gov/publicdocs/CCF/NUREGCR-5485_Guidelines%20on%20Modeling%20Common-Cause%20Failures%20in%20PRA.pdf ×1

Registry ID ref:15d8b6d03224 · see in the full table