Common cause failure prediction using data mapping

Reliability Engineering and System Safety

Volumn 76, Issue 3, 2002, Pages 273-278

  Kvam, Paul H ^a   Miller, J Glenn ^a  

^a Georgia Institute of Technology   (United States)

Author keywords

Bayesian prediction; Poisson distribution; Upper prediction bounds

Indexed keywords

ACCIDENT PREVENTION; ALGORITHMS; CONFORMAL MAPPING; DATA REDUCTION; FAILURE ANALYSIS; POISSON DISTRIBUTION; PROBABILITY; RELIABILITY THEORY;

BAYESIAN PREDICTIONS; COMMON CAUSE FAILURES (CCF);

NUCLEAR POWER PLANTS;

EID: 0036604232     PISSN: 09518320     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0951-8320(02)00025-X     Document Type: Article

References (15)

1. Uncertainty analyses in fault trees and Bayesian networks using FORM/SORM methods
2. The notion of 'composite reliability' and its hierarchical Bayes estimation
3. Possible pitfalls in the process of CCF event data evaluation
4. Estimation techniques for common cause failure data
5. Discrete predictive analysis in probabilistic safety assessment
6. Empirical Bayes estimation of the reliability of nuclear power plant emergency diesel generators
7. Common cause failures: An analysis methodology and examples
8. Summary of the common cause failure reliability benchmark exercise
9. Estimating common cause failure probabilities in reliability and risk analysis: Marshall-Olkin specializations