Optimal preventive maintenance policies for equipment under condition monitoring

doi:10.13196/j.cims.2013.12.yaoyunzhi.2968.8.2013126

Abstract

Abstract: To deal with the optimal preventive maintenance for equipment under condition monitoring,two types of failure rate were proposed and the computing method with historical data was given.Based on the failure rate functions,the replacement policies for un-repairable equipment and maintenance policies for repairable equipment were generated.For repairable equipment,the effect of maintenance on failure rate functions was studied.The result of simulation showed that the expected cost rate was reduced by taking two types of failure rate functions,and the superiority compared with classical failure rate function in maintenance decision was proved.

Key words: condition monitoring, failure rate function, preventive maintenance, degradation degree

摘要： 为解决状态监测下装备最优预防维修的问题,提出两类新的失效率函数,并给出了使用历史数据计算失效率函数的方法。基于提出的失效率函数,制定了不可维修装备的预防替换策略及可维修装备的预防维修策略。针对可维修装备,研究了维修对失效率函数的影响。仿真实验结果说明使用两类新的失效率函数能降低期望维修费率,验证了其在维修决策中比经典失效率函数更有优势。

关键词: 状态监测, 失效率函数, 预防维修, 劣化程度

CLC Number:

TH17

YAO Yun-zhi,MENG Chen,WANG Cheng,TIAN Zai-ke,FENG De-long. Optimal preventive maintenance policies for equipment under condition monitoring[J]. , DOI: 10.13196/j.cims.2013.12.yaoyunzhi.2968.8.2013126.

姚运志,孟晨,王成,田再克,冯德龙. 状态监测下装备最优预防维修策略[J]. , DOI: 10.13196/j.cims.2013.12.yaoyunzhi.2968.8.2013126.

References

［1］HUYNH K T,BARROS A,BERENGUER C.Maintenance decision-making for systems operating under indirect condition monitoring:value of online information and impact of measurement uncertainty［J］.IEEE Transactions on Reliability,2012,61(2):410-425.
[2]LIU X,LI J,AL-KHALIFA K N, et al.Condition-based maintenance for continuously monitored degrading systems with multiple failure modes［J］.IIE Transactions,2013,45(4):422-435.
[3]KOOCHAKI J,JOS A C,WORTMANN H,et al.The influence of condition-based maintenance on workforce planning and maintenance scheduling［J］.International Journal of Production Research,2013,51(8):2339-2351.
[4]ASHOK P,SUBRA G.Application of statistical techniques and neural networks in condition-based maintenance［J］.Quality and Reliability Engineering International,2013,29(3):439-461.
[5]PHUC D V,CHRISTOPHE B.Condition-based maintenance with imperfect preventive repairs for a deteriorating production system［J］.Quality and Reliability Engineering International,2012,28(6):624-633.
[6]JARDINE A K S,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.
[7]VAN N J M.A survey of the application of gamma processes in maintenance［J］.Reliability Engineering & System Safety,2009,94(1):2-21.
[8]PENG Ying,DONG Ming,ZUO Mingjian.Current status of machine prognostics in condition-based maintenance:a review［J］.The International Journal of Advanced Manufacturing Technology,2010,50(1/2/3/4):297-313.
[9]WANG W.Overview of a semi-stochastic filtering approach for residual life estimation with applications in condition based maintenance［J］.Proceedings of the Institution of Mechanical Engineering,Part 0:Journal of Risk and Reliability,2011,255(2):185-198.
[10]DELOUX E,CASTANIER B.Condition-based maintenance approaches for deteriorating system evolving in a stressful environment［J］.Proceedings of the Institution of Mechanical Engineering,Part 0:Journal of Risk and Reliability,2008,222(4):613-622.
[11]GEBRAEEL N,PAN J.Prognostic degradation models for computing and updating residual life distributions in a time-varying environment［J］.IEEE Transactions on Reliability,2008,54(4):539-550.
[12]YU I T,FUH C D.Estimation of time to hard failure distributions using a three-stage method［J］.IEEE Transactions on Reliability,2010,59(2):405-412.
[13]AXEL L.Joint modeling of degradation and failure time data［J］.Journal of Statistical Planning and Inference,2009,193(5):1693-1706.
[14]WU Jun,SHAO Xinyu,DENG Chao,et al.Reliability prediction system development based on performance degradation［J］.Computer Integrated Manufacturing Systems,2011,17(1):191-197(in Chinese).［吴军,邵新宇,邓超,等.基于性能劣化的可靠性预测与系统开发［J］.计算机集成制造系统,2011,17(1):191-197.］
[15]YIN Jiubo,YAN Junwei,LIU Min.Intelligent inspection system for maintenance repair and overhaul service in steel continuous casting equipment［J］.Computer Integrated Manufacturing Systems,2010,16(12):2715-2719(in Chinese).［尹九波,严隽薇,刘敏.面向钢铁连铸设备维护维修和大修的智能点检系统［J］.计算机集成制造系统,2010,16(12):2715-2719.］
[16]WANG Zhengyuan,CHEN Zhixiong,CAO Jiping,et al.Optimal solution to condition-based maintenance strategy of single parts［J］.Computer Integrated Manufacturing Systems,2008,14(1):45-49(in Chinese).［王正元,陈智雄,曹继平,等.基于状态的单部件维修策略优化方法［J］.计算机集成制造系统,2008,14(1):45-49.］
[17]ZUO M J,JIANG R Y,YAM R C M.Approaches for reliability modeling of continuous-state devices［J］.IEEE Transactions on Reliability,1999,48(1):9-18.
[18]LIN D,ZUO M J,YAM R C M.General sequential imperfect preventive maintenance models［J］.International Journal of Reliability,Quality and Safety Engineering,2000,7(3):253-266. ［19］ELFERIK S,BEN D M.Age-based hybrid model for imperfect preventive maintenance［J］.IIE Transactions,2006,38(4):365-375. ［20］RUBINSEIN R Y,KROESE D P.Simulation and the Monte Carlo method［M］.2nd ed.New York,N.Y.,USA:John Wiley & Sons,2007.

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