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Abstract Two major aspects of the CCF problem are addressed: the nature of CCF in the contexts of data evaluation and reliability analysis, and uncertainties arising from limitations to expert judgment, when failure data are evaluated. Some inconsistencies and pitfalls in contemporary dependent failure modeling methodology are identified, analyzed and discussed quantitatively. Methods and solutions are proposed to avoid inadequate pessimistic evaluations in case of redundancy mismatch.
Abstract Two major aspects of the CCF problem are addressed: the nature of CCF in the contexts of data evaluation and reliability analysis, and uncertainties arising from limitations to expert judgment, when failure data are evaluated. Some inconsistencies and pitfalls in contemporary dependent failure modeling methodology are identified, analyzed and discussed quantitatively. Methods and solutions are proposed to avoid inadequate pessimistic evaluations in case of redundancy mismatch.
Pitfalls in Common Cause Failure Data Evaluation
Dörre, P. (author)
1989-01-01
15 pages
Article/Chapter (Book)
Electronic Resource
English
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