全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
化工学报  2015 

基于剩余使用寿命预测的替换时间和备件订购时间联合决策

DOI: 10.11949/j.issn.0438-1157.20141517, PP. 284-290

Keywords: 预测维修,剩余使用寿命,联合决策,序贯决策,备件订购

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对带有状态监测的单部件系统,基于剩余使用寿命预测信息,考虑了替换时间和备件订购时间的联合决策。首先,利用实时状态监测信息对剩余使用寿命分布函数进行预测;然后,分别建立了该预测信息下的序贯优化模型和联合优化模型;最后,进行了实验研究,利用实际的轴承加速寿命实验对序贯决策和联合决策的效果进行比较。结果表明,联合决策比序贯决策要好,同时还避免了序贯决策中决策结果无法实施的问题。

References

[1]  Djurdjanovic D, Lee J, Ni J. Watchdog agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction[J]. Advanced Engineering Informatics, 2003, 17(3): 109-125
[2]  Si X, Wang W, Hu C, et al. Remaining useful life estimation—a review on the statistical data driven approaches[J]. European Journal of Operational Research, 2011, 213(1): 1-14
[3]  Gebraeel N. Sensory-updated residual life distributions for components with exponential degradation patterns[J]. IEEE Transactions on Automation Science and Engineering, 2006, 3(4): 382-393
[4]  Christer A, Wang W, Sharp J. A state space condition monitoring model for furnace erosion prediction and replacement[J]. European Journal of Operational Research, 1997, 101(1): 1-14
[5]  Cadini F, Zio E, Avram D. Model-based Monte Carlo state estimation for condition-based component replacement[J]. Reliability Engineering & System Safety, 2009, 94(3): 752-758
[6]  Fan H, Hu C, Chen M, et al. Cooperative predictive maintenance of repairable systems with dependent failure modes and resource constraint[J]. IEEE Transactions on Reliability, 2011, 60(1): 144-157
[7]  van Horenbeek A, Bure J, Cattrysse D, et al. Joint maintenance and inventory optimization systems: a review[J]. International Journal of Production Economics, 2013, 143(2): 499-508
[8]  Elwany A H, Gebraeel N Z. Sensor-driven prognostic models for equipment replacement and spare parts inventory[J]. IIE Transactions, 2008, 40(7): 629-639
[9]  Fan Hongdong(樊红东). Research on maintenance decision modeling and optimization methods for complex repairable systems [D]. Xi'an: The Second Artillery Engineering College, 2012
[10]  Jardine A K, Lin D, Banjevic D. A review on machinery diagnostics and prognostics implementing condition-based maintenance[J]. Mechanical Systems and Signal Processing, 2006, 20(7):1483-1510
[11]  van Noortwijk J. A survey of the application of gamma processes in maintenance[J]. Reliability Engineering & System Safety, 2009, 94(1):2-21
[12]  Lu S, Tu Y, Lu H. Predictive condition-based maintenance for continuously deteriorating systems[J]. Quality and Reliability Engineering International, 2007, 23(1):71-81
[13]  Sun J, Li L, Xi L. Modified two-stage degradation model for dynamic maintenance threshold calculation considering uncertainty[J]. IEEE Transactions on Automation Science and Engineering, 2012, 9(1): 209-212
[14]  Kaiser K A, Gebraeel N Z. Predictive maintenance management using sensor-based degradation models[J]. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans, 2009, 39(4): 840-849
[15]  You M, Li L, Meng G, et al. Cost-effective updated sequential predictive maintenance policy for continuously monitored degrading systems[J]. IEEE Transactions on Automation Science and Engineering, 2010, 7(2): 257-265
[16]  Gebraeel N Z, Lawley M A, Li R, et al. Residual-life distributions from component degradation signals: a Bayesian approach[J]. IIE Transactions, 2005, 37(6): 543-557
[17]  Armstrong M J, Atkins D R. Joint optimization of maintenance and inventory policies for a simple system[J]. IIE Transactions, 1996, 28(5): 415-424
[18]  Wang W, Wang Z, Hu C, et al. An integrated decision model for critical component spare parts ordering and condition-based replacement with prognostic information[J]. Chemical Engineering, 2013, 33: 1063-1068
[19]  Si X, Wang W, Chen M, et al. A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution[J]. European Journal of Operational Research, 2013, 226(1): 53-66
[20]  Xu Z, Ji Y, Zhou D. Real-time reliability prediction for a dynamic system based on the hidden degradation process identification[J]. IEEE Transactions on Reliability, 2008, 57(2): 230-242

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133