Abstract
Common cause failure events are a subset of dependent events in which two or more component fault states exist at the same time and are a direct result of a shared root cause. If the dependency exists between parallel events, the probability of system failure is larger than the product of failure probabilities of all parallel events. The procedures for common cause failure analysis are presented. The representation of common cause failures within the fault tree analysis is described and presented on simple examples. The methods for evaluation of common cause failures are described: beta factor method, basic parameter method, multiple Greek letter method, and alpha factor method. The mathematical models are presented. The emphasis is placed to beta factor method, which is the simplest of the four methods. Simple examples are given.
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Brian Koslow
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© 2011 Springer-Verlag London Limited
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Čepin, M. (2011). Common Cause Failures. In: Assessment of Power System Reliability. Springer, London. https://doi.org/10.1007/978-0-85729-688-7_10
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DOI: https://doi.org/10.1007/978-0-85729-688-7_10
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