TY - GEN
T1 - Fuzzy multi-state fault tree analysis based on fuzzy expert system
AU - Ren, Yi
AU - Kong, Leixing
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - fuzzy expert system
KW - fuzzy inference
KW - fuzzy multi-state fault tree
KW - fuzzy theory
UR - https://www.scopus.com/pages/publications/80052479618
U2 - 10.1109/ICRMS.2011.5979415
DO - 10.1109/ICRMS.2011.5979415
M3 - 会议稿件
AN - SCOPUS:80052479618
SN - 9781612846644
T3 - ICRMS'2011 - Safety First, Reliability Primary: Proceedings of 2011 9th International Conference on Reliability, Maintainability and Safety
SP - 920
EP - 925
BT - ICRMS'2011 - Safety First, Reliability Primary
T2 - 2011 9th International Conference on Reliability, Maintainability and Safety: Safety First, Reliability Primary, ICRMS'2011
Y2 - 12 June 2011 through 15 June 2011
ER -