DocumentCode :
2685391
Title :
Fuzzy multi-state fault tree analysis based on fuzzy expert system
Author :
Ren, Yi ; Kong, Leixing
Author_Institution :
Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
fYear :
2011
fDate :
12-15 June 2011
Firstpage :
920
Lastpage :
925
Abstract :
With the development of large-scale, intelligent and complex systems, the conventional fault tree analysis method is incapable of analyzing the fault tree model of systems with vague data and multi-state. As a solution, this paper proposes a new approach of fuzzy multi-state fault tree analysis method based on a fuzzy expert system. Fuzzy theory is applied to representing the degree of fault tree basic events working, and a fuzzy expert system relying on experts´ experience in engineering practice is designed to process the rare information, which is suitable for analyzing fault tree models of complex systems. Eventually, a given example illustrates the process of constructing a fuzzy expert system, and achieving the probability of the fault tree top event. This method describes an opinion of analyzing the fuzzy multi-state fault tree, which is suitable for the safety and risk analysis of a new system in preliminary design phase.
Keywords :
expert systems; fault trees; fuzzy set theory; complex systems; fuzzy expert system; fuzzy multistate fault tree analysis; fuzzy theory; intelligent system; risk analysis; Expert systems; Fault trees; Fuzzy sets; Logic gates; Pragmatics; Reliability; Safety; fuzzy expert system; fuzzy inference; fuzzy multi-state fault tree; fuzzy theory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-61284-667-5
Type :
conf
DOI :
10.1109/ICRMS.2011.5979415
Filename :
5979415
Link To Document :
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