Review of various dynamic modeling methods and development of an intuitive modeling method for dynamic systems

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Conventional static reliability analysis methods are inadequate for modeling dynamic interactions between components of a system. Various techniques Such as dynamic fault tree, dynamic Bayesian networks, and dynamic reliability block diagrams have been proposed for modeling dynamic systems based on improvement of the conventional modeling methods. In this paper, we review these methods briefly and introduce dynamic nodes to the existing reliability graph with general gates (RGGG) as an intuitive modeling method to model dynamic systems. For a quantitative analysis, we use a discrete-time method to convert an RGGG to an equivalent Bayesian network and develop a software tool for generation of probability tables.
Publisher
KOREAN NUCLEAR SOC
Issue Date
2008-08
Language
English
Article Type
Article
Keywords

STOCHASTIC PETRI NETS; FAULT-TREE ANALYSIS; RELIABILITY-ANALYSIS; ANALYSIS FRAMEWORK; DISCRETE-TIME; NETWORKS; TOOL

Citation

NUCLEAR ENGINEERING AND TECHNOLOGY, v.40, no.5, pp.375 - 386

ISSN
1738-5733
URI
http://hdl.handle.net/10203/92403
Appears in Collection
NE-Journal Papers(저널논문)
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