DocumentCode :
1686926
Title :
Probabilistic reasoning in practical system analysis
Author :
Wojdowski, Lukasz
Author_Institution :
Dept. of Microelectron. & Comput. Sci., Lodz Univ. of Technol., Lodz, Poland
fYear :
2015
Firstpage :
534
Lastpage :
539
Abstract :
This article presents an application of the Bayesian networks (BN) to reliability analysis. First part of the article describes BN used to construct simple nodes, second shows the methodology used in constructing models of complex systems. A combination of path analysis with the Bayesian networks to enhance the construction of the latter is also presented. There are three examples of complex systems analysed with the results compared to the outcomes obtained using the minimal cuts method.
Keywords :
belief networks; inference mechanisms; large-scale systems; power system analysis computing; power system reliability; substations; systems analysis; Bayesian networks; complex systems; electric power substation reliability; minimal cuts method; path analysis; practical system analysis; probabilistic reasoning; reliability analysis; Bayes methods; Computer network reliability; Probabilistic logic; Reliability; Substations; Bayesian network; Reliability; probability network; system reliability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mixed Design of Integrated Circuits & Systems (MIXDES), 2015 22nd International Conference
Conference_Location :
Torun
Print_ISBN :
978-8-3635-7806-0
Type :
conf
DOI :
10.1109/MIXDES.2015.7208580
Filename :
7208580
Link To Document :
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