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.

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

This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.

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