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.
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© 1989 Springer Science+Business Media Dordrecht
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Dörre, P. (1989). Pitfalls in Common Cause Failure Data Evaluation. In: Amendola, A. (eds) Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment. ISPRA Courses on Reliability and Risk Analysis, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0629-2_13
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DOI: https://doi.org/10.1007/978-94-017-0629-2_13
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-4045-9
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