DocumentCode
3071237
Title
Notice of Violation of IEEE Publication Principles
An Improved Modular Approach for System Reliability Analysis
Author
Tao Yongjian ; Dong Decun
Author_Institution
Sch. of Transp. Eng., Tongji Univ., Shanghai, China
Volume
1
fYear
2009
fDate
10-11 July 2009
Firstpage
111
Lastpage
113
Abstract
Notice of Violation of IEEE Publication Principles
"An Improved Modular Approach for System Reliability Analysis,"
by Yongjian Tao, Decun Dong,
in the Proceedings of the 2009 WASE International Conference on Information Engineering, November 2009, pp. 111-113
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains portions of text from the paper(s) cited below. A credit notice is used, but due to the absence of quotation marks or offset text, copied material is not clearly referenced or specifically identified.
"A Discrete-time Bayesian Network Reliability Modeling and Analysis Framework"
by H. Boudali, J. B. Dugan.
in Reliability Engineering and System Safety, vol. 87(3):, March 2005, pp. 337-349
A modular method, based on Binary Decision Diagrams and Bayesian Networks, is proposed to analyze system reliability. A fault tree is divided into independent subtrees using a very efficient linear time algorithm. Different solution techniques are applied to each subtree depending on the latter\´s characteristics, Binary Decision Diagrams solution for static fault trees, and Bayesian Networks solution for dynamic fault trees. The solutions of various independent subtrees are integrated to obtain the reliability of urban mass transit vehicles. The modular method, based on based on Binary Decision Diagrams and Bayesian Networks, can overcome main shortcomings of Markov Chains, and is useful for assessing the reliability of large and complex systems.
"An Improved Modular Approach for System Reliability Analysis,"
by Yongjian Tao, Decun Dong,
in the Proceedings of the 2009 WASE International Conference on Information Engineering, November 2009, pp. 111-113
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE\´s Publication Principles.
This paper contains portions of text from the paper(s) cited below. A credit notice is used, but due to the absence of quotation marks or offset text, copied material is not clearly referenced or specifically identified.
"A Discrete-time Bayesian Network Reliability Modeling and Analysis Framework"
by H. Boudali, J. B. Dugan.
in Reliability Engineering and System Safety, vol. 87(3):, March 2005, pp. 337-349
A modular method, based on Binary Decision Diagrams and Bayesian Networks, is proposed to analyze system reliability. A fault tree is divided into independent subtrees using a very efficient linear time algorithm. Different solution techniques are applied to each subtree depending on the latter\´s characteristics, Binary Decision Diagrams solution for static fault trees, and Bayesian Networks solution for dynamic fault trees. The solutions of various independent subtrees are integrated to obtain the reliability of urban mass transit vehicles. The modular method, based on based on Binary Decision Diagrams and Bayesian Networks, can overcome main shortcomings of Markov Chains, and is useful for assessing the reliability of large and complex systems.
Keywords
Markov processes; belief networks; binary decision diagrams; fault trees; reliability theory; transportation; Bayesian network; Markov chain; binary decision diagram; efficient linear time algorithm; fault tree; modular approach; system reliability analysis; urban mass transit vehicle; Bayesian methods; Binary decision diagrams; Boolean functions; Data structures; Explosions; Fault trees; Information analysis; Reliability engineering; State-space methods; Vehicle dynamics; Bayesian Networks; Binary Decision Diagram; system reliability;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering, 2009. ICIE '09. WASE International Conference on
Conference_Location
Taiyuan, Chanxi
Print_ISBN
978-0-7695-3679-8
Type
conf
DOI
10.1109/ICIE.2009.133
Filename
5211134
Link To Document