Abstract
Uncertainties in the initiating events of a Fault Tree can be propagated through the tree using Monte Carlo sampling. The sampled values of the top event are fitted to one of the Johnson probability distributions. The fitted Johnson distributions can then be used to estimate confidence limits, or for further analyses eg. Accident Sequences.
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© 1988 Elsevier Applied Science Publishers Ltd
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Irving, A.M. (1988). Fault Tree Uncertainty Analysis Using a Monte Carlo Method. In: Libberton, G.P. (eds) 10th Advances in Reliability Technology Symposium. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-1355-4_15
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DOI: https://doi.org/10.1007/978-94-009-1355-4_15
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-7103-1
Online ISBN: 978-94-009-1355-4
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