Advanced seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment
The analysis of dependent events is one of the most critical steps in safety and reliability assessment of complex systems. However, a wide variety of dependency structures may exist among the failure modes of equipment and components, thus requiring a range of different analytical approaches. Several parametric models have been proposed for the implicit treatment of so-called common cause failures: the availability of adequate data is still a matter of debate. To clarify such problems, and to assess the state-of-the-art models, data, and procedures, at least in regard to nuclear power plants, a series of benchmark studies have been undertaken, involving the foremost experts available in the USA and Europe. The participants in these benchmark studies here exchange the fruits of their experiences, thereby providing a comprehensive review of the cutting edge of work on the classification of independent failures: the identification of causes for dependencies; implicit and explicit modelling procedures; defence criteria against multiple failures; and data analysis and operating experience. Although the studies have been undertaken in the context of nuclear systems, the work can be generalised to other fields.
Bibliographic Reference: EUR 11760 EN (1989) 346 pp.
Availability: Available from Kluwer Academic Publishers Group, P.O. Box 322, 3300 AH Dordrecht, (DE)
ISBN: ISBN 0-7923-0268-0
Record Number: 198910913 / Last updated on: 1994-12-01
Original language: en
Available languages: en