New PDF release: Advanced Seminar on Common Cause Failure Analysis in

By A. Amendola (auth.), Aniello Amendola (eds.)

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Read or Download Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment: Proceedings of the ISPRA Course held at the Joint Research Centre, Ispra, Italy, 16–19 November 1987 PDF

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Additional resources for Advanced Seminar on Common Cause Failure Analysis in Probabilistic Safety Assessment: Proceedings of the ISPRA Course held at the Joint Research Centre, Ispra, Italy, 16–19 November 1987

Example text

They are specified below in the order of priority, which in this case is quite subjective since the phenomena are plantspecific. 1) 2) CCI-analyses (Ringhals 2, Barseback 1, Oskarshamn 1). Power supply systems are suggested as the primary (but not only) subject of the studies. Physical interaction dependencies, in particular dynamic effects after LOCA (Ringhals 1, Ringhals 2, Barseback 1, Oskarshamn 1). - 27 - 3) Human interaction dependencies (all plants with the possible exception of Ringhals I).

If the failures of A and B are independent then equation 2 reverts to the form of equation 1. - 48 - 3. THE DEVELOPMENT OF DEFENSIVE STRATEGIES AGAINST MRF's In order to understand how to defend against MRF's, the cause, means of propagation through a system and impact on the system being analysed must be well understood. These issues were addressed by Edwards and Watson in a study of common mode failures (1). 1 The Study of Common Mode Failures The study (1) addressed the problems of identification of the common failure mode, the uncertainty of the reliability models used, the availability of data required for the solution of the models, and the possible rarity of CMF events.

D. Thesis (in Swedish), Helsinki University of Technology, December 1984. - 29 - CLASSIFICATION OF MULTIPLE RELATED FAILURES A. Amendola Commission of the European Communities Joint Research Centre - Institute for Systems Engineering 21020 Ispra (Va) - Italy ABSTRACT. Classification schemes for multiple related failures are reviewed and terminology problems are discussed. It is shown how different classifications have been established to match different objectives, such as to build in defences against multiple failure events, to analyze data, to model dependency structures in reliability assessments, etc.

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