Title :
System reliability modeling and analysis in the possibility context
Author :
He, Liping ; Xiao, Jian ; Huang, Hong-Zhong ; Luo, Zhiqiang
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
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, parallel-series, 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.
Keywords :
failure analysis; fuzzy set theory; possibility theory; reliability theory; stochastic processes; cold standby systems; component failure behavior characterization; component lifetime; fuzzy variables; parallel-series systems; possibilistic design framework verification; possibilistic measurements; possibilistic reliability design; possibilistic reliability management; possibilistic reliability model; possibility measures; possibility space; series-parallel systems; stochastic reliability method; system failure behavior characterization; system lifetime; system reliability analysis; system reliability modeling; Analytical models; Data models; Probabilistic logic; Reliability engineering; Reliability theory; Uncertainty; epistemic uncertainty; imcomplete data; possibility measures; reliability models; typical systems;
Conference_Titel :
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-0786-4
DOI :
10.1109/ICQR2MSE.2012.6246255