Research on Selective Maintenance Decision-making Method of Complex System Considering Imperfect Maintenance

doi:10.3969/j.issn.1000-1093.2018.06.023

Abstract

Abstract: A sequential condition deterioration process model is constructed to enhance the mission reliability of complex systems composed of sequential-parallel parts. To better illustrate the effect of varied maintenance behaviors, the minimal maintenance, imperfect maintenance and replacement are taken as optional maintenance actions and modeled. A selective maintenance decision-making model and the attached artificial solving measures are presented to maximize the current mission reliability. The result shows that the imperfect maintenance model can be used to represent the actual reliability of the system better by integrating service age reduction model and risk correction model. Also within given maintenance time, the imperfect maintenance strategy is of help to offer a more feasible maintenance plan and increase the system reliability. Key

Key words: complexsystem, imperfectmaintenance, selectivemaintenance, missioninterval, geneticalgorithm

CLC Number:

WANG Shao-hua， ZHANG Shi-xin， LI Yong, DONG Yuan-sheng, WANG Jin-peng. Research on Selective Maintenance Decision-making Method of Complex System Considering Imperfect Maintenance[J]. Acta Armamentarii, 2018, 39(6): 1215-1224.

References

［1］曹文斌,李锋,冉悄然. 面向随机任务的多状态系统选择性维修优化研究[J].军械工程学院学报,2017, 29(2):17-22.
CAO Wen-bin, LI Feng, RAN Qiao-ran.Selective maintenance for multi-state systems under stochastic missions[J]. Journal of Ordnance Engineering College, 2017,29(2):17-22.(in Chinese)
[2］ Bris R, Chatelet E,Yalaoui F. New method to minimize the preventive maintenance cost of series-parallel systems[J]. Reliability Engineering and System Safety, 2003, 82(3): 247-255.
[3］ Wildeman R E, Dekker R,Smit A C J M. A dynamic policy for grouping maintenance activities [J]. European Journal of Operation Research, 1997,99 (3):530-551.
[4］ Yao X, Fu M, Marcus S I, et al. Optimization of preventive maintenance scheduling for semiconductor manufacturing systems: models and implementation[C]∥Proceedings of the 2001 IEEE International Conference on Control Applications. Mexico City, Mexico: IEEE, 2001: 407-411.
[5］ Bris R, Chtelet E, Yalaoui F. New method to minimize the preventive maintenance cost of series-parallel systems[J]. Reliability Engineering & System Safety, 2003, 82(3):247-255.
[6］ Samrout M, Yalaoui F, Chtelet E, et al. New methods to minimize the preventive maintenance cost of series-parallel systems using ant colony optimization[J]. Reliability Engineering & System Safety, 2005, 89(3):346-354.
[7］ Cassady C R, Murdock W P, Pohl E A. Selective maintenance for support equipment involving multiple maintenance actions [J]. European Journal of Operational Research, 2001, 129(2):252-258.
[8］ Moghaddam K S, Usher J S. A new multi-objective optimization model for preventive maintenance and replacement scheduling of multi-component systems [J]. Engineering Optimization, 2011, 43(7): 701-719.
[9］ Zille V, Bérenguer C, Grall A, et al. Modelling multicomponent systems to quantify reliability centred maintenance strategies[J]. Journal of Risk and Reliability, 2011, 225(2):141-160.

[10］ Moghaddam K S, Usher J S. A new multi-objective optimization model for preventive maintenance and replacement scheduling of multi-component systems [J]. Engineering Optimization，2011, 43(7): 701-719.
[11］ Pandey M, Zuo M J, Moghaddass R, et al. Selective maintenance for binary systems under imperfect repair[J]. Reliability Engineering and System Safety， 2013,113(1): 42-51.
[12］ Labeau P E， Segovia M C. Effective age models for imperfect maintenance[J]. Journal of Risk and Reliability， 2011, 225(2): 117-130.
[13］ Pandey M, Zuo M J, Moghaddass R. Selective maintenance scheduling over a finite planning horizon[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2016, 230(2):179-190.
[14］ Al-Baidhani F A, Sinclair C D. Comparison of methods of estimation of parameters of the Weibull distribution[J]. Communications in Statistics-Simulation and Computation, 1987, 16(2):373-384.
[15］ Zille V, Bérenguer C, Grall A, et al. Modeling multi-component systems to quantify reliability centred maintenance strategies [J]. Journal of Risk and Reliability, 2011, 225(2): 141-160.
[16］ Nakagawa T. Sequential imperfect preventive maintenance policies [J]. IEEE Transactions on Reliability, 1988, 37(3): 295-298.
[17］ Lin D, Zuo M J,Yam R C M. Sequential imperfect preventive maintenance models with two categories of failure modes[J].Naval Research Logistics, 2001, 48(2): 172-183.
[18］ Pandey M, Zuo M J,Moghaddass R. Selective maintenance for binary systems using age-based imperfect repair model[C]∥Proceedings of the International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering. Chengdu, China: IEEE, 2012:385-389.
[19］ Pandey M, Zuo M J, Moghaddass R. Selective maintenance for binary systems using age-based imperfect repair model [C]∥Proceedings of the International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering.Chengdu, China: IEEE,2012: 385-389.
[20］陈兆芳,张岐山.基于粒子群算法的电梯系统选择性维修模型[J].计算机系统应用,2015,35(8):229-233.
CHEN Zhao-fang, ZHANG Qi-shan. Selective maintenance decision of elevator system based on particle swarm optimization[J]. Computer System & Applications, 2015,35(8):229-233.（in Chinese）
[21］刘文宝,王少华,孟祥辉,等. 基于遗传算法的装备维修任务规划[J].兵工自动化, 2010, 29(11):23-26.
LIU Wen-bao, WANG Shao-hua, MENG Xiang-hui,et al. Equipment maintenance tasks programming methods based on genetic algorithm [J]. Ordnance Industry Automation, 2010,29(11): 23-26.（in Chinese）

第39卷第6期
2018 年6月兵工学报ACTA
ARMAMENTARIIVol.39No.6Jun.2018

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