考虑环境因素的包装机械动力机衰退演化规则及多目标决策
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摘要
目的为了提高包装机械动力机的使用寿命。方法考虑到包装机械动力机工作外界环境因素的影响以及自身内部衰退规律,引入环境因子和调整因子,在综合内外因素衰退演化规则的基础上,建立以稳态可用度和平均成本率为目标的多目标优化决策模型,并且分析不同环境工况对预防维护时间间隔的影响,再根据最优预防维护时间间隔进行动态预防维护策略研究。结果研究数值算例表明,衰退演化规则是合理的,且恶劣的环境会加速机械动力机的衰退,急剧缩短预防维护时间间隔。结论考虑环境因素的影响对机械动力机维护具有实际意义,为其提供良好的工作环境,对提高其稳态可用度和降低维护平均成本率是非常重要的。
The work aims to improve the service life of packaging machinery power machine. The environmental factor and adjustment factor were introduced due to the influence of external environmental factors and the internal recession on the work of packaging machinery power machines. Based on the recession evolution rules of internal and external factors, a multi-objective optimization decision model with steady-state availability and average cost rate as goal was established. The effects of different environmental conditions on preventive maintenance intervals were analyzed. Then the strategy of dynamic prevention and maintenance was studied based on optimal preventive maintenance intervals. The numerical example showed that the recession evolution rules were reasonable, and the harsh environment accelerated the decline of the equipment and drastically reduced the preventive maintenance interval. Considering the influence of environmental factors has practical significance for the maintenance of equipment. It is important for improving the steady availability of equipment and reducing the maintenance average cost rate to provide a good working environment for the equipment.
The work aims to improve the service life of packaging machinery power machine. The environmental factor and adjustment factor were introduced due to the influence of external environmental factors and the internal recession on the work of packaging machinery power machines. Based on the recession evolution rules of internal and external factors, a multi-objective optimization decision model with steady-state availability and average cost rate as goal was established. The effects of different environmental conditions on preventive maintenance intervals were analyzed. Then the strategy of dynamic prevention and maintenance was studied based on optimal preventive maintenance intervals. The numerical example showed that the recession evolution rules were reasonable, and the harsh environment accelerated the decline of the equipment and drastically reduced the preventive maintenance interval. Considering the influence of environmental factors has practical significance for the maintenance of equipment. It is important for improving the steady availability of equipment and reducing the maintenance average cost rate to provide a good working environment for the equipment.
引文
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[16]曹晋华,程侃.可靠性数学引论(第2版)[M].北京:高等教育出版社,2012.CAO Jin-hua,CHENG Kan.Introduction to Reliability Mathematics(2nd Edition)[M].Beijing:Higher Education Press,2012.
[2]WANG J,ZHANG L,DUAN L,et al.A New Paradigm of Cloud-based Predictive Maintenance for Intelligent Manufacturing[J].Journal of Intelligent Manufacturing,2017,28(5):1125-1137.
[3]XIN L,WEN J,RUI Z,et al.Study on Resource Scheduling Method of Predictive Maintenance for Equipment Based on Knowledge[C]//International Conference on Intelligent Systems&Knowledge Engineering,2016.
[4]HUNG W T,TSAI T R,CHANG Y C.Periodical Preventive Maintenance Contract for Leased Equipment with Random Failure Penalties[J].Computers&Industrial Engineering,2017(2):76-83.
[5]NAHAS N.Buffer Allocation and Preventive Maintenance Optimization in Unreliable Production Lines[J].Journal of Intelligent Manufacturing,2017,28(1):1-9.
[6]王海涛,陈星,段斐翡.三参数威布尔分布模型在系统的可靠性评估中的应用[J].机械与电子,2015(3):78-80.WANG Hai-tao,CHEN Xing,DUAN Fei-fei.The Application of Three-Parameter Weibull Distribution Model in the System of Reliability Evaluation[J].Machinery&Electronics,2015(3):78-80.
[7]MALIK M A K.Reliable Preventive Maintenance Policy[J].AIIE Transactions,1979,11(3):221-228.
[8]NAKAGAWA T.Sequential Imperfect Preventive Maintenance Policies[J].IEEE Transactions on Reliability,1988,37(3):295-298.
[9]赵斐,刘学娟.两部件可修复系统预防性维修的策略模型[J].统计与决策,2016(2):52-55.ZHAO Fei,LIU Xue-juan.The Strategy Model of Preventive Maintenance of Two Components Repairable System[J].Statistics&Decisions,2016(2):52-55.
[10]VICTOR C.Degradation-based Reliability in Outdoor Environments[J].Unpublished Manuscript,2001,27(3):159-170.
[11]ADAMIDIS K,LOUKAS S.A Lifetime Distribution with Decreasing Failure Rate[J].Statistics&Probability Letters,1998,39(1):35-42.
[12]NELSON W B.Accelerated Llife Testing-step-stress Models and Data Analysis[J].IEEE Transaction on Reliability,1980,29(2):103-108.
[13]吴英伟,齐杏林,崔亮,等.威布尔分布环境折合因子计算及其应用研究[J].装备环境工程,2016,13(4):88-91.WU Ying-wei,QI Xing-lin,Cui Liang,et al.Calculation and Application of Environmental Factor of Weibull Distribution[J].Equipment Environmental Engineering,2016,13(4):88-91.
[14]BINDER K.Monte Carlo calculation of the Surface Tension for Two and Three Dimensional Lattice-gas Models[J].Physical Review A,2016,25(3):1699-1709.
[15]曾林蕊,汤银才,窦雯.定数截尾数据缺失场合Frechet分布参数的近似极大似然估计[J].应用概率统计,2017,33(3):310-316.ZENG Lin-rui,TANG Yin-cai,DOU Wen.Approximate Maximum Likelihood Estimation of Frechet Distribution Parameters for Missing Truncated Data[J].Journal of Applied Probability and Statistics,2017,33(3):310-316.
[16]曹晋华,程侃.可靠性数学引论(第2版)[M].北京:高等教育出版社,2012.CAO Jin-hua,CHENG Kan.Introduction to Reliability Mathematics(2nd Edition)[M].Beijing:Higher Education Press,2012.