n-n-1∶G系统的模糊稳态可靠度  

n-n-1∶Fuzzy Steady-state Reliability of G System

作　　者：郭洋洋[1] 宋月[1] 李刚平[1] 

机构地区：[1]西安电子科技大学理学院,陕西西安710071

出　　处：《电子科技》2012年第5期123-125,共3页Electronic Science and Technology

摘　　要：经典马尔可夫模型中故障率和修复率为常数的假定不一定符合实际,比如受气候环境等因素影响部件的故障率和修复率,而用模糊数来表示更具有实际意义。文中在模糊负指数分布的假定下,应用模糊Markov模型及模糊概率理论,并结合模糊数学理论分析n-n-1∶G系统,获得了该系统的稳态平衡方程,用割集的形式给出了各状态的可靠度,最终通过去模糊求出系统的稳态可用度。The constant assumption of failure rate and repair rate on Classical Markov model does not accord with the reality,such as the failure rate and repair rate influenced by factors like climate or environment.It is of greater practical significance to use fuzzy number to represent the failure rate and the repair rate.In this paper,A fuzzy Markov modeling method is put forward and an algorithm for calculating the fuzzy steady maintainability equation of n-n-1∶ G system is established using fuzzy probability theory and fuzzy mathematics theory analysis.The reliability of each state are given in the form of cut set,and finally the steady-state system availability is worked out by remove fuzzy.

关 键 词：可修系统 模糊故障率 模糊修复率 模糊Markov模型 稳态可用度 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]