摘要
等周期预防性维护策略不可避免地会使设备的可靠性随着役龄及维护次数的增加而逐步降低.为此,结合役龄递减因子和故障率递增因子的优点,通过引入基于两类调整因子的混合式故障率演化规则,建立了基于设备可靠性的顺序预防性维护优化模型,并以威布尔分布为例,利用蒙特卡罗仿真方法对其进行了优化.结果显示,该模型符合设备的实际维护情况,可为设备的维护决策提供有力的支持.
Conventional preventive maintenance （PM） often holds a same time interval T and the age-T policy gives unavoidably decreasing reliabilities at the PM actions for the degradation system with imperfect maintenance effect. This study developed a reliability-centered sequential preventive maintenance model for a system subject to the degradation due to imperfect maintenance, which is more practical in engineering. It is assumed that whenever the system reliability reaches the threshold R, an imperfect PM action should be performed on the system. In order to predict the evolution of the system reliability in different maintenance cycle, a hybrid hazard rate recursion method was proposed based on the concept of age reduction factor and hazard rate increase factor. The optimal PM schedule was deduced by minimizing the maintenance cost rate in the life cycle of the system. The optimization process is based on the Monte Carlo simulation. The simulation results show that this maintenance model is practical and it can provide decision support for maintenance scheduling.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2005年第12期2044-2047,共4页
Journal of Shanghai Jiaotong University
基金
国家高技术研究发展规划(863/CIMS)项目(2003AA414120)
关键词
设备
预防性维护
可靠性
成本
优化
equipment
preventive maintenance
reliability
cost
optimization
