摘要
通过分析系统故障状态建立系统模糊不可靠度,在故障模式影响及危害性分析(Failure Mode Effect and Criticality Analysis,FMECA)的基础上,提出影响系统故障模式可靠性的一些重要参数,结合所建立的模糊不可靠度推导出系统不可靠度综合公式,利用提出的最优分布拟合方法、Bayes方法对系统可靠度进行Bayes点估计和置信下限估计。以某型发动机系统为例,对其不可靠度进行随机模拟仿真,仿真结果表明所提出的方法在实际的可靠性工程中具有一定的可行性。
System fuzzy unreliability is established by the analysis of system failure state, based on the FMECA （failure mode effect and criticality）, some important reliability variables affecting system failure mode are put forward, then system unreliability synthesis formula is deduced from established fuzzy unreliability. The method of optimum distribution and Bayes is put forward to calculate system reliability point estimation and credible lower limit. Taking an engine for example, its unreliability is simulated randomly, and the simulation result shows the method put forward is feasible in practical reliability engineering .
出处
《重庆大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2007年第9期9-13,共5页
Journal of Chongqing University
基金
重庆市自然科学基金重点资助项目(8718)
长江学者奖励计划项目
