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

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Extra 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

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G. technical specifications) among the operability of plants and/or systems. Operations might be conditional on the state of certain systems or on the occurrence of given events. According to the particular case fault trees with boundary conditions, Markovian or Monte Carlo methods can analyze such problems in an appropriate manner. Other constraints or dependencies can be introduced by the repair/maintenance policy assumed. For instance, in repairable systems the performance processes of the different components can be considered as independent only if an adequate number of repair operators are available.

Games, P. Martin and A. Amendola: 'Multiple related component failure events', Reliability '85, Birmingham 10-12 July 1985. C. Gangloff and T. Franke: 'An engineering approach to common mode failure analysis', Proc. Seminar on Development and Application of Reliability Techniques to Nuclear Power Plants, Liverpool (1974). T. A. Watson: A Study of Common Mode Failures, SRD R146, UKAEA, July 1979. A. Watson: 'Review of common cause failures', NCSR R27, UKAEA, July 1981. L. , 'A study of common cause failures, phase II: a comprehensive classification system for component fault analysis', LASA-EPRI-NP-3837, January 1985.

The effectiveness of each of the defined defences in combatting the common mode failures was then assessed. The partial ~ factor dependent failures model developed by G T Edwards (3) was then used to quantify the effectiveness of each defence, and thus arrive at a value for system unavailability. Figure 5 provides an example of the format of the defence/cause link obtained thorough the application of the Partial ~ Factor model. 5. RECENT DEVELOPMENTS IN DEFENSIVE STRATEGIES AND DEPENDENT FAILURES MODELLING The National Centre of System Reliability is engaged in ongoing research into the development of assessment and modelling techniques relating to dependent failures (4,5).

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Advanced Seminar on Common Cause Failure Analysis in by A. Amendola (auth.), Aniello Amendola (eds.)
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