DocumentCode
1779016
Title
Constructing Bayesian Network by Integrating FMEA with FTA
Author
Dezhong Ma ; Zhen Zhou ; Yongqing Jiang ; Wenfei Ding
Author_Institution
Coll. of Meas.-control Technol. & Commun. Eng., Harbin Univ. of Sci. & Technol., Harbin, China
fYear
2014
fDate
18-20 Sept. 2014
Firstpage
696
Lastpage
700
Abstract
Bayesian Network has an advantage in dealing with uncertainty. But It is difficult to construct a scientific and rational Bayesian Network model in practice application. In order to solve this problem, a novel method for constructing Bayesian Network by integrating Failure Mode and Effect Analysis (FMEA) with Fault Tree Analysis (FTA) was proposed. Firstly, the structure matrix representations of FMEA, FTA and Bayesian Network were shown and a structure matrix integration algorithm was explained. Then, an approach for constructing Bayesian Network by obtaining information on node, structure and parameter from FMEA and FTA based on structure matrix was put forward. Finally, in order to verify the feasibility of the method, an illustrative example was given. This method can simplify the modeling process and improve the modeling efficiency for constructing Bayesian Network and promote the application of Bayesian Network in the system reliability and safety analysis.
Keywords
belief networks; failure analysis; matrix algebra; reliability theory; FMEA; FTA; failure mode and effect analysis; fault tree analysis; rational Bayesian network model; safety analysis; structure matrix integration algorithm; structure matrix representations; system reliability; Analytical models; Bayes methods; Computer network reliability; Fault trees; Reliability; Safety; Uncertainty; Bayesian Network; Failure Mode and Effect Analysis (FMEA); Fault Tree Analysis (FTA); Reliability; Structure Matrix;
fLanguage
English
Publisher
ieee
Conference_Titel
Instrumentation and Measurement, Computer, Communication and Control (IMCCC), 2014 Fourth International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4799-6574-8
Type
conf
DOI
10.1109/IMCCC.2014.148
Filename
6995118
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