上海交通大学学报

上海交通大学学报（自然版） ›› 2012, Vol. 46 ›› Issue (06): 936-942.

• 自动化技术、计算机技术 • 上一篇    下一篇

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

陈友玲1，张立元1，刘文科1，王建华2，郭金龙1   

  1. （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）
  • 收稿日期:2011-07-01 出版日期:2012-06-28 发布日期:2012-06-28
  • 基金资助:

    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)

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

CHEN  You-Ling-1, ZHANG  Li-Yuan-1, LIU  Wen-Ke-1, WANG  Jian-Hua-2, GUO  Jin-Long-1   

  1. （1. The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China； 2. Guodian Power Development in Dadu River Overhaul and Installation Co., Ltd., Leshan 614900, Sichuan, China）
  • Received:2011-07-01 Online:2012-06-28 Published:2012-06-28

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.
关键词： 

关键词: 间接状态监测, 设备残余寿命, 马尔可夫过程, 设备维修策略

Abstract: 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 proposed. Bayes rule and the hidden Markov model were used to research equipment condition probability distribution . 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 residual life. The implementation of the optimum maintenance decision criterion was illustrated based on maintenance cost and residual life in indirect monitoring.
Key words：

Key words: condition-based maintenance, indirect monitoring, equipment residual life, Markov processes, equipment maintenance strategy

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