摘要
对于部件之间存在经济相关性的复杂装备,组合维修能提高维修效率并节省维修费用。论文针对辅以定期检测的工龄更换的复合维修策略,根据装备在运行过程中的状态,利用马尔科夫决策过程的相关理论,建立了以可靠性为约束条件,组合维修后可节省的维修费用最大为目标函数的组合维修决策数学模型,并用Matlab遗传算法工具箱对模型进行求解。最后,通过算例验证了该组合维修决策模型的有效性。
For the complex equipment with economic dependence,group maintenance can improve the maintenance efficiency and save maintenance cost. Aiming at age-replacement policy with periodic inspection,the paper establishes a mathematical model of grouping maintenance decision model based on Markov decision process according to the state of component operation,in which reliability is as constraint condition and the maximum maintenance cost saving after grouping maintenance is as objective function,and the model is solved using Matlab genetic algorithm toolbox. Finally,the example shows the effectiveness of grouping maintenance model.
引文
[1]甘茂治,康建设,高崎.军用装备维修工程学[M].北京:北京国防工业出版社,2005.
[2]贾希胜.以可靠性为中心的维修决策模型[M].北京:国防工业出版社,2007.
[3]蔡景,左洪福,刘明,等.复杂系统成组维修策略优化模型研究[J].应用科学学报,2006,24(5):533-537.
[4]蔡景,左洪福,王华伟.基于经济相关性的复杂系统维修优化模型研究[J].系统工程与电子技术,2007,29(5):835-838.
[5]白永生.复杂系统维修周期决策模型研究[D].石家庄:军械工程学院博士论文,2010.
[6]李欣玥,贾云献,白永生.预防性维修工作组合优化[J].火力与指挥控制,2013,38(4):39-43.
[7]R.Dekker,R.E.Wildeman,R.van Egmond. Joint replacement in an operational planning phase[J]. European Journal of Operational Research,1996,91(1):74-88.
[8]K.Bouvard,S.Artus,C.Berenguer,et al. Condition-based dynamic maintenance operations planning&grouping application to commercial heavy vehicles[J]. Reliability Engineering System Safety,2011,96(6):51-59.
[9]王进才,曹学峰.基于马尔可夫决策过程的维修决策模型研究[J].电子产品可靠性与环境试验,2011,29(2):1-6.
[10]张卓奎,陈慧婵.随机过程及其应用[M].西安:西安电子科技大学出版社,2012.
[11] M. Sheikhalishahi,A.Azadeha,L.Pintelonb. Dynamic maintenance planning approach by considering grouping strategy and human factors[J]. Process Safety and Environmental Protection,2017,107:289-298.
[12]AdriaanVanHorenbeek,Liliane Pintelon. A dynamic predictive maintenance policy for complex multi-component systems[J]. Reliability Engineering and System Safety,2013,120:39-50.
[13]雷英杰. Matlab遗传算法工具箱及应用[M].西安:西安电子科技大学出版社,2014.