间接状态监测下基于维修费用及残余寿命的设备维修策略  

Research of Equipment Maintenance Strategy Based on Maintenance Cost and Residual Life In Indirect Monitoring

作　　者：陈友玲[1] 张立元[1] 刘文科[1] 王建华 郭金龙[1] 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400030 [2]国电大渡河检修安装有限公司,四川乐山614900

出　　处：《上海交通大学学报》2012年第6期936-942,948,共8页Journal of Shanghai Jiaotong University

基　　金：重庆市自然科学基金资助项目(2009BB3362);重庆市教委科学技术研究项目(KJ08A06);重庆大学"211工程"三期创新人才培养计划建设项目(S-09107)

摘　　要：针对不能直接诊断间接状态监测下设备劣化状态的问题,提出了制定费用最优的设备预防性维修策略方法.利用马尔可夫链表示设备的劣化状态,给出了设备可靠度函数,运用贝叶斯规则和马尔可夫模型进行设备状态概率分布研究,建立了间接状态下设备维修费用和设备残余寿命模型,分析了基于设备维修费用和设备残余寿命的设备维修策略.通过实例说明了间接状态监测下基于维修费用和残余寿命制定并实施最优维修决策标准的方法.For the equipment deterioration condition can not be diagnosed directly in indirect monitoring, this paper proposed a method of equipment preventive maintenance strategy with minimum cost. By using Markov chain to express equipment deterioration condition, the equipment reliability function was pro- posed. Bayes rule and the hidden Markov model were used to research equipment condition probability dis- tribution . The equipment maintenance cost model and the equipment residual life model were established in indirect monitoring to carry equipment maintenance strategy analysis based on maintenance cost and re- sidual life. The implementation of the optimum maintenance decision criterion was illustrated based on ma- intenance cost and residual life in indirect monitoring.

关 键 词：状态维修 间接状态监测 设备残余寿命 马尔可夫过程 设备维修策略 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TH17[自动化与计算机技术—计算机科学与技术]