工况时变下设备预防维护策略

上海交通大学学报（自然版） ›› 2016, Vol. 50 ›› Issue (05): 736-741.

工况时变下设备预防维护策略

胡家文，蒋祖华，韩李杰

(上海交通大学机械与动力工程学院，上海 200240)

收稿日期:2015-05-26 出版日期:2016-05-28 发布日期:2016-05-28
基金资助:
国家自然科学基金资助项目(NSFC: 71461018，71361019)

Preventive Maintenance for Machine Operating in Dynamic Environmental State

HU Jiawen,JIANG Zuhua,HAN Lijie

(School of Mechanical Engineering, Shanghai Jiaotong University, Shanghai 200240, China)

Received:2015-05-26 Online:2016-05-28 Published:2016-05-28

摘要/Abstract

摘要： 摘要：以运行工况时变的单机设备为研究对象，假设不同工况下失效时间分布满足加速寿命模型(ALM)，建立工况转换时的设备失效率函数演化模型；同时将设备在不同工况下的役龄转换为在基准工况下的运行等效役龄，引入故障率递增和役龄残余因子，建立设备运行工况时变下的非完美维护模型.考虑未来工况不可预知情况下，以当前预防维护周期的可用度为目标函数和一个给定的可靠度阈值作为限制条件，随着实际运行工况的不断更新，动态地决策出每一个预防维护周期.通过案例分析表明，本文提出的预防维护策略可以有效地动态决策出单设备运行工况时变下的预防维护时间序列.

关键词: 预防性维护, 运行工况, 加速寿命模型, 非完美维护, 可用度

Abstract: Abstract： This paper dealt with a single machine system operating at timevarying environmental state. Assuming that the failure time distribution of the system can be represented by the accelerated life model (ALM) at different environmental states, the evolution model of the hazard rate was built when environmental state changes. The time interval operated at different environmental states was converted to the equivalent working time at the baseline state, the imperfect maintenance model was proposed at the dynamic environmental state with the recursion decline factor and failure rate ascending factor. Considering the fact that the future environmental state was unknown, and taking the availability of current PM interval as an objective and a given reliability threshold as a constraint, the optimal PM intervals were calculated dynamically along with variable environmental state. The results of a numerical example indicate that the PM strategy is valid for a single machine at timevarying environmental state at a finite interval.

Key words: Key words： preventive maintenance (PM), environmental state, accelerated life model (ALM), imperfect maintenance, availability

中图分类号:

TH 17

胡家文，蒋祖华，韩李杰. 工况时变下设备预防维护策略[J]. 上海交通大学学报（自然版）, 2016, 50(05): 736-741.

HU Jiawen,JIANG Zuhua,HAN Lijie. Preventive Maintenance for Machine Operating in Dynamic Environmental State[J]. Journal of Shanghai Jiaotong University, 2016, 50(05): 736-741.

参考文献

［1］ALSYOUF I. The role of maintenance in improving companies’ productivity and profitability［J］. International Journal of Production Economics, 2007, 105(1): 7078. ［2］周晓军, 奚立峰, 李杰. 一种基于可靠性的设备顺序预防性维护模型［J］. 上海交通大学学报, 2005, 39(12): 20442047. ZHOU Xiaojun，XI Lifeng，JAY Lee. A reliability based sequential preventive maintenance model［J］. Journal of Shanghai Jiaotong University, 2005, 39(12): 20442047. ［3］LANZA G, NIGGESCHMIDT S, WEMER P. Optimization of preventive maintenance and spare part provision for machine tools based on variable operational conditions［J］. CIRP AnnalsManufacturing Technology, 2009, 58(1): 429432. ［4］COX D R. Regression models and life tables (with discussion)［J］. Journal of the Royal Statistical Society, 1971, 34（2）: 527541. ［5］PIKE M C. A method of analysis of a certain class of experiments in carcinogenesis［J］. Biometrics, 1966, 22(1): 142161. ［6］YOU M Y, LI H, MENG G. Controllimit preventive maintenance policies for components subject to imperfect preventive maintenance and variable operational conditions［J］. Reliability Engineering & System Safety, 2011, 96(5): 590598. ［7］尤明懿. 基于状态监测数据的产品寿命预测与预测维护规划方法研究［D］. 上海：上海交通大学机械与动力工程学院，2012. ［8］NEWBY M. Perspective on weibull proportionalhazards models［J］. IEEE Transactions on Reliability,1994, 43(2): 217223. ［9］LU X, LIU M. Hazard rate function in dynamic environment［J］. Reliability Engineering & System Safety, 2014, 130: 5060. ［10］LIU H, MAKIS V,JARDINE A K S. Cuttingtool reliability assessment in variable machining conditions［J］. IEEE Transactions on Reliability, 1996, 45(4): 573581. ［11］LIU P H, MAKIS V, JARDINE A K S. Scheduling of the optimal tool replacement times in a flexible manufacturing system［J］. IIE Transactions, 2001, 33(6): 487495. ［12］MARTORELL S, SANCHEZ A, SERRADELL V. Agedependent reliability model considering effects of maintenance and working conditions［J］. Reliability Engineering & System Safety, 1999, 64(1): 1931. ［13］LU X, CHEN M, LIU M, et al. Optimal imperfect periodic preventive maintenance for systems in timevarying environments［J］. IEEE Transactions on Reliability, 2012, 61(2): 426439. ［14］BARLOW R, HUNTER L. Optimum preventive maintenance policies［J］. Operations Research, 1960, 8(1): 90100.

[1]	司国锦, 林泽宇, 郑宇, 夏唐斌, 奚立峰. 面向多中心租赁制造网络的成组维护与团队协同调度策略[J]. 上海交通大学学报, 2023, 57(3): 273-284.
[2]	叶鸿庆, 苏华德, 郑美妹, 夏唐斌. 考虑双供应商的维护和备件订购联合决策优化[J]. 上海交通大学学报, 2022, 56(10): 1359-1367.
[3]	王金凤, 陈璐, 杨雯慧. 考虑设备可用性约束的单机调度问题[J]. 上海交通大学学报, 2021, 55(1): 103-110.
[4]	胡家文1，蒋祖华1，侯文瑞2，裴海燕1，王海丽1，孙小明1. 批量生产模式下考虑设备运行负荷的预防维护策略[J]. 上海交通大学学报, 2018, 52(3): 332-339.
[5]	王红,杜维鑫,刘志龙,杨欣翥,李忠学. 联合故障与经济相关性的动车组多部件系统维护[J]. 上海交通大学学报（自然版）, 2016, 50(05): 660-667.
[6]	成国庆1,2,周炳海1,李玲2. 服从延迟几何过程退化系统的订货-更换策略优化[J]. 上海交通大学学报（自然版）, 2015, 49(08): 1101-1107.
[7]	丁珮雯，蒋祖华，胡家文，韩李杰. 带有交货期时间窗的生产与维护联合调度优化[J]. 上海交通大学学报（自然版）, 2015, 49(04): 524-530.
[8]	余佳迪，周炳海. 带缓冲的串行生产系统预防性维护策略[J]. 上海交通大学学报（自然版）, 2014, 48(12): 1694-1699.
[9]	綦法群，周炳海. 基于Markov过程的集束型设备预防维护策略[J]. 上海交通大学学报（自然版）, 2014, 48(10): 1461-1467.
[10]	陶辛阳，夏唐斌，奚立峰. 基于健康指数的预防性维护与多目标生产调度联合优化建模[J]. 上海交通大学学报（自然版）, 2014, 48(08): 1170-1174.
[11]	黄彬1，邰能灵1，王鹏2，倪明杰2，卫卫2，张淑蓉2. 自适应算法在船舶电网保护中的应用[J]. 上海交通大学学报（自然版）, 2013, 47(12): 1963-1967.
[12]	崔维伟1, 陆志强2. 单机系统的生产调度与预防性维护的集成优化[J]. 上海交通大学学报（自然版）, 2012, 46(12): 2009-2013.
[13]	周炳海，何平，潘尔顺，奚立峰. 基于Markov链的集束型晶圆制造设备预防性维护建模[J]. 上海交通大学学报（自然版）, 2008, 42(10): 1622-1626.