System Reliability Modeling and Analysis in The Possibility Context
In consideration of some drawbacks of stochastic reliability method in theoretical and practical aspects,as well as the existence of insufficient and vague data in actual equipments design,the possbilistic reliability models of typically general systems are constructed in this paper.Characterizing the systems(components) failure behavior by possibility measures in place of probability measures,treating the systems (components) lifetime as fuzzy variables in the possibility space,and introducing possibilistic approaches into system reliability modeling and analysis,the possibilistic reliability theories are advanced based on possibilistic measurements.By expanding the universe of discourse,the derivation of system reliability models is simplified without loss of the nature of the problems to be solved,and proofs and calculations of possibilistic reliability of typical systems including series,parallel,series-parallel,parallelseries,and cold standby systems are much more straightforward than the traditional ones.The detailed application examples in system reliability analysis verify a possibilistic design framework on the general reliability models background,which provide some technical supports and guarantees for possibilistic reliability design and possibilistic reliability management in the case of limited statistical data.
typical systems reliability models possibility measures epistemic uncertainty imcomplete data
Liping He Jian Xiao Hong-Zhong Huang Zhiqiang Luo
School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu 611731, China
国际会议
成都
英文
1532-1538
2012-06-15（万方平台首次上网日期，不代表论文的发表时间）