DocumentCode :
860310
Title :
A continuous-time Bayesian network reliability modeling, and analysis framework
Author :
Boudali, Hichem ; Dugan, Joanne Bechta
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Virginia, Charlottesville, VA, USA
Volume :
55
Issue :
1
fYear :
2006
fDate :
3/1/2006 12:00:00 AM
Firstpage :
86
Lastpage :
97
Abstract :
We present a continuous-time Bayesian network (CTBN) framework for dynamic systems reliability modeling and analysis. Dynamic systems exhibit complex behaviors and interactions between their components; where not only the combination of failure events matters, but so does the sequence ordering of the failures. Similar to dynamic fault trees, the CTBN framework defines a set of ´basic´ BN constructs that capture well-defined system components´ behaviors and interactions. Combining, in a structured way, the various ´basic´ Bayesian network constructs enables the user to construct, in a modular and hierarchical fashion, the system model. Within the CTBN framework, one can perform various analyses, including reliability, sensitivity, and uncertainty analyses. All the analyses allow the user to obtain closed-form solutions.
Keywords :
Bayes methods; fault trees; reliability theory; sensitivity; closed-form solution; continuous-time Bayesian network; dynamic fault tree; dynamic systems reliability modeling; failure sequence ordering; hierarchical fashion; reliability analysis; sensitivity; uncertainty analyses; Bayesian methods; Explosions; Fault trees; Performance analysis; Power system modeling; Power system reliability; Probability density function; Probability distribution; Random variables; State-space methods; Bayesian networks; dynamic systems; reliability modeling and analysis;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/TR.2005.859228
Filename :
1603897
Link To Document :
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