摘要
研究了随时间发生线性退化和随机振荡导致瞬时退化的系统可靠度及定期维修策略。随机振荡的发生次数服从非时齐泊松过程,每次振荡造成系统的退化量独立同分布。当累积退化量达到阀值时,系统发生故障。为了改善系统工作状态,降低故障风险,每隔T时对系统进行不完全预防维修,维修后故障率函数将发生变化,维修成本与系统的退化程度有关。在NT时,对系统进行完全预防维修,使系统修旧如新。构建了系统的可靠度函数。在单位时间平均利润最大的前提下,提出不完全预防维修间隔T和完全预防维修周期NT的确定方法。分析了模型参数对维修决策的影响。
This paper studies the policies of the periodic maintenance for a system subjected to bothlinear degradation and random shocks. Random shocks arrive according to a non-homogeneous Poissonprocess. The damage sizes caused by the shock are i.i.d, random variables. A failure occurs whenthe overall degradation is beyond a threshold value. We consider two different preventive maintenancepolicies: Imperfect preventive maintenance (IPM) that is performed at periodic intervals and perfectpreventive maintenance (PPM) that fully upgrades the system to the as-good-as-new condition. Thehazard-rate function after IPM will be changed. The cost of IPM depends on the total degradation of thesystem. A generM reliability model is developed. The optimal IPM interval and PPM cycle that maximizethe expected profit per unit of time are derived. The effects of process parameters on maintenance policiesare studied.
出处
《数理统计与管理》
CSSCI
北大核心
2016年第4期669-678,共10页
Journal of Applied Statistics and Management
关键词
线性退化
随机振荡
可靠度
维修决策
linear degradation, random shocks, reliability, maintenance decision