摘要
为了降低生产系统故障频率及维护成本,保证系统的安全运行,通过建立成本分析模型,对随机退化的串行生产系统提出了一种机会维护的建模方法.首先应用定态gamma分布对各设备的随机退化过程进行建模,在此基础上引入不完全维护的整合退化量恢复因子,提出了基于条件的机会维护策略.考虑设备退化的随机性,以总成本为优化目标,建立了有限时间内维护成本的分析模型.最后通过实验分析,确定了系统维护成本和检测周期以及机会维护成本之间的关系.分析结果表明,该机会维护建模方法是可行、有效的.
To reduce the failure rate and maintenance cost of production systems, an opportunistic mainte- nance model was proposed for a series production system which experiences stochastic degradation. A sta- tionary gamma process was used to model the uncertain degradation for each unit o{ the system. By intro- ducing integrated recovery factor of imperfective maintenance, a condition-based opportunistic maintenance policy was proposed. A formulation was developed for computing the expected value of the maintenance cost over a defined time horizon. The optimal inspection interval of the system could be found by minimi- zing the expected maintenance cost. Finally, a simulation experiment was conducted to show that the pro- posed model was feasible and valid.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2013年第12期1911-1917,共7页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金项目(61273035
71071115)
国家高技术研究发展计划(863)项目(2009AA043000)
关键词
随机退化
串行系统
不完全维护
机会维护
stochastic degradation
series system
imperfective maintenance
opportunistic maintenance
