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不完美维护下基于剩余寿命预测信息的设备维护决策模型

裴洪 胡昌华 司小胜 张正新 杜党波

裴洪, 胡昌华, 司小胜, 张正新, 杜党波. 不完美维护下基于剩余寿命预测信息的设备维护决策模型. 自动化学报, 2018, 44(4): 719-729. doi: 10.16383/j.aas.2017.c160534
引用本文: 裴洪, 胡昌华, 司小胜, 张正新, 杜党波. 不完美维护下基于剩余寿命预测信息的设备维护决策模型. 自动化学报, 2018, 44(4): 719-729. doi: 10.16383/j.aas.2017.c160534
PEI Hong, HU Chang-Hua, SI Xiao-Sheng, ZHANG Zheng-Xin, DU Dang-Bo. Remaining Life Prediction Information-based Maintenance Decision Model for Equipment Under Imperfect Maintenance. ACTA AUTOMATICA SINICA, 2018, 44(4): 719-729. doi: 10.16383/j.aas.2017.c160534
Citation: PEI Hong, HU Chang-Hua, SI Xiao-Sheng, ZHANG Zheng-Xin, DU Dang-Bo. Remaining Life Prediction Information-based Maintenance Decision Model for Equipment Under Imperfect Maintenance. ACTA AUTOMATICA SINICA, 2018, 44(4): 719-729. doi: 10.16383/j.aas.2017.c160534

不完美维护下基于剩余寿命预测信息的设备维护决策模型

doi: 10.16383/j.aas.2017.c160534
基金项目: 

国家自然科学基金 61773386

国家自然科学基金 61573365

国家自然科学基金 61374126

国家自然科学基金 61473094

国家自然科学基金 61603398

国家自然科学基金 61573366

中国科协青年人才托举工程 2016QNRC001

详细信息
    作者简介:

    裴洪  火箭军工程大学控制工程系博士研究生.主要研究方向为预测与健康管理, 预测维护和寿命估计.E-mail:ph2010hph@sina.com

    司小胜  火箭军工程大学控制工程系博士研究生.主要研究方向为预测与健康管理, 剩余寿命估计, 可靠性与预测维护.E-mail:sxs09@mails.tsinghua.edu.cn

    张正新  火箭军工程大学控制工程系博士研究生.主要研究方向为预测与健康管理, 预测维护和寿命估计.E-mail:zhangzhengxin13@gmail.com

    杜党波  火箭军工程大学控制工程系博士研究生.主要研究方向为预测与健康管理, 预测维护和寿命估计.E-mail:ddb_efiort@126.com

    通讯作者:

    胡昌华  火箭军工程大学控制工程系教授.主要研究方向为故障诊断, 可靠性工程.本文通信作者.E-mail:hch6603@263.net

Remaining Life Prediction Information-based Maintenance Decision Model for Equipment Under Imperfect Maintenance

Funds: 

National Natural Science Foundation of China 61773386

National Natural Science Foundation of China 61573365

National Natural Science Foundation of China 61374126

National Natural Science Foundation of China 61473094

National Natural Science Foundation of China 61603398

National Natural Science Foundation of China 61573366

Young Elite Scientists Sponsorship Program of China Association for Science and Technology 2016QNRC001

More Information
    Author Bio:

     Ph. D. candidate in the Department of Automation Technology, Xi0an Institute of High Technology. His research interest covers prognostics and health management, predictive maintenance, and lifetime estimation

     Ph. D. candidate in the Department of Automation Technology, Xi0an Institute of High Technology. His research interest covers prognostics and health management, remaining useful life estimation, reliability and predictive maintenance

     Ph. D. candidate in the Department of Automation Technology, Xi0an Institute of High Technology. His research interest covers prognostics and health management, predictive maintenance, and lifetime estimation

     Ph. D. candidate in the Department of Automation Technology, Xi0an Institute of High Technology. His research interest covers prognostics and health management, predictive maintenance, and lifetime estimation

    Corresponding author: HU Chang-Hua  Professor in the Department of Automation Technology, Xi0an Institute of High Technology. His research interest covers fault diagnosis and reliability engineering. Corresponding author of this paper
  • 摘要: 基于剩余寿命预测信息进行设备维护决策的研究中,现有方法通常仅考虑不完美维护对退化量或退化率的单一影响,忽略了不完美维护对两者的双重影响.鉴于此,针对随机退化设备,提出一种考虑不完美维护影响的性能退化模型与维护决策模型,融合了维护活动对设备退化量和退化率的双重影响.首先基于Wiener过程分阶段构建存在不完美维护干预的随机退化模型,在首达时间的意义下推导出剩余寿命的解析概率分布;然后基于剩余寿命的预测结果,以检测间隔和预防性维护阈值为决策变量建立维护决策模型;最后数值仿真实验验证了本文模型的有效性,并对费用参数进行了敏感性分析.实验结果表明本文模型具有潜在的工程应用价值.
    1)  本文责任编委 文成林
  • 图  1  不完美维护干预下的设备退化轨迹

    Fig.  1  Degradation trajectory under the influence of imperfect maintenance

    图  2  预防性替换过程

    Fig.  2  Process of the preventive replacement

    图  3  预防性替换过程

    Fig.  3  Process of the preventive maintenance

    图  4  模型1的决策变量与长期期望维护费用率的关系

    Fig.  4  Relationship between the decision variables of model 1 and long term expected maintenance cost rate

    图  5  模型2的决策变量与长期期望维护费用率的关系

    Fig.  5  Relationship between the decision variables of model 2 and long term expected maintenance cost rate

    图  6  检测费用与最优维护策略及最优长期期望维护费用率的关系

    Fig.  6  Relationship between preventive maintenance cost and maintenance policy with the optimal long term expected maintenance cost rate

    图  7  预防性维护费用与最优维护策略及最优长期期望维护费用率的关系

    Fig.  7  Relationship between monitoring cost and maintenance policy with the optimal long term expected maintenance cost rate

    图  8  预防性替换费用与最优维护策略及最优长期期望维护费用率的关系

    Fig.  8  Relationship between preventive replacement cost and maintenance policy with the optimal long term expected maintenance cost rate

    表  1  相关费用参数

    Table  1  Cost parameters

    参数${C_i}$${C_p}$${C_r}$${C_f}$
    费用(/元)550200500
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-07-18
  • 录用日期:  2016-11-08
  • 刊出日期:  2018-04-20

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