摘要
提出了一类基于半马氏决策过程的劣化失效系统检测与维修优化模型.将位相型(PH)分布引入模型后,决策过程的状态空间发生变化,为了获得适用于原有模型假设的检测与维修优化策略,提出了一种改进的值迭代算法.运用该算法,求得了使系统长期运行平均费用率最低的预防性维修阈值与检测间隔分布.最后,通过具体算例验证了模型与迭代算法的可行性.
The optimal model of inspection and maintenance for the deteriorating system is presented with the semi - Markov decision process. To solve the problem that the PH distribution proposed changes the state space of system, the value iteration algorithm for the semi - Markov decision process is improved to get the optimal inspection and maintenance policy. With this policy the long - run average cost rate of system is minimized. Finally, the numerical example is put forward to illustrate the implementation of the model and iteration algorithm.
出处
《机械与电子》
2007年第2期6-9,共4页
Machinery & Electronics
关键词
劣化系统
半马氏决策过程
位相型分布
检测与维修
值迭代算法
the deteriorating system
semi - Markov decision process
phase - type distribution
inspection and maintenance
value iteration algorithm
