DocumentCode :
3434996
Title :
Notice of Retraction
A novel dynamic fault tree analysis method
Author :
Yan-Feng Li ; Hong-Zhong Huang ; Yu Liu ; Shun-Peng Zhu ; Ning-Cong Xiao
Author_Institution :
Sch. of Mech., Electron., & Ind. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
15-18 July 2013
Firstpage :
81
Lastpage :
84
Abstract :
Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Dynamic fault tree analysis method can be used to model and analyze reliability of complex engineering systems with dynamic failure characteristics. By incorporating the Bayesian Networks into dynamic fault tree method can alleviate the state space explosion problem involving in the latter. Based on Bayesian networks, a novel dynamic fault tree analysis method under fuzzy numbers is presented in this paper. The determination of probability distribution under fuzzy numbers for output variable of dynamic logic gate is introduced. The calculation of fuzzy failure probability of a system is also put forward. Finally, an example is given to illustrate the effectiveness of this method.
Keywords :
Bayes methods; fault trees; fuzzy set theory; logic gates; Bayesian networks; complex engineering systems; dynamic logic gate output variable; fuzzy failure probability; fuzzy numbers; novel dynamic fault tree analysis method; probability distribution; Analytical models; Bayes methods; Fault trees; Logic gates; Probability density function; Probability distribution; Reliability; continuous time Bayesian Networks; dynamic fault tree; fuzzy number; system reliability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-1014-4
Type :
conf
DOI :
10.1109/QR2MSE.2013.6625540
Filename :
6625540
Link To Document :
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