上海交通大学学报(自然版) ›› 2013, Vol. 47 ›› Issue (12): 1911-1916.

• 自动化技术、计算机技术 • 上一篇    下一篇

基于随机退化的串行生产系统机会维护模型

TAO Hongyu,ZHOU Binghai
  

  1. (同济大学 机械与能源工程学院,上海 201804)
     
  • 收稿日期:2013-04-15
  • 基金资助:

    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)

Opportunistic Maintenance Model for Series Production Systems Based on Stochastic Degradations

陶红玉,周炳海
  

  1. (School of Mechanical Engineering, Tongji University, Shanghai 201804, China)
  • Received:2013-04-15

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.
 
 

关键词: 随机退化, 串行系统, 不完全维护, 机会维护

Abstract:

To reduce the failure rate and maintenance cost of production systems, an opportunistic maintenance model was proposed for a series production system which experiences stochastic degradation. A stationary gamma process was used to model the uncertain degradation for each unit of the system. By introducing 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 minimizing the expected maintenance cost. Finally, a simulation experiment was conducted to show that the proposed model was feasible and valid.
 

Key words: stochastic degradation, series system, imperfective maintenance, opportunistic maintenance

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