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Importance Measure Method for Dynamic Fault Tree Based on Isomorphic Node

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Information Computing and Applications (ICICA 2010)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6377))

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Abstract

In order to enhance the measure efficiency in the research field of importance measure for dynamic fault tree which contains some structural information, a new method using this information is presented. By means of creating an object for every node, identifying the isomorphic nodes and computing only once for the same kind of isomorphic nodes, this method reduces the number of states and the computation time. This method also introduces the idea of perturbation and extends the BI importance factor, then gives a concept of relative importance factor which is obtained according to the type of independent module and has no relation with the dependency within the independent module. The importance factor can be computed by the combination of the relative importance factors. Finally this method is applied on a real high reliability computer system. The analysis shows that this method can provide a credible importance measure and greatly reduce the time expense if the system structure has some replicate components or backups.

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Zhang, HL., Zhang, CY., Liu, D., Xie, GW. (2010). Importance Measure Method for Dynamic Fault Tree Based on Isomorphic Node. In: Zhu, R., Zhang, Y., Liu, B., Liu, C. (eds) Information Computing and Applications. ICICA 2010. Lecture Notes in Computer Science, vol 6377. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16167-4_2

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  • DOI: https://doi.org/10.1007/978-3-642-16167-4_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16166-7

  • Online ISBN: 978-3-642-16167-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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