摘要
针对多设备混联系统维护优化的建模复杂性,系统分析了设备间的相互依赖性,建立了混联系统的维护调度模型。首先利用威布尔分布模拟设备的衰退过程;定义小修、大修和更换3种维护方式,以及3种维护方式对设备故障率的影响;考虑故障成本、维护成本、资源成本和停机成本,建立了系统一次维护活动的费用模型。其次,基于每次维护活动的费用模型,建立了系统维护多阶段的总费用率模型。最后,通过算例证明了提出的多设备混联系统维护调度优化模型的有效性。
The multi-component maintenance scheduling model is developed,which includes prognostic information,maintenance cost and action. First,the Weibull distribution is used to describe the degradation process. The minor,imperfect and replacement maintenance actions are defined,and the impact on the failure is described. Failure cost,maintenance cost,resource cost and downtime cost are considered.The cost model of one maintenance activity is developed. Then,based on the cost model of each maintenance activity,the multi-stage total cost rate model is proposed. Finally,the effectiveness of the proposed model is verified by a series of computational experiments.
出处
《工业工程》
2016年第1期16-23,共8页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(71471116)
上海市浦江人才计划资助资助(14PJC077)
沪江基金人文社科资助项目(15HJSK-YB11)
上海理工大学博士启动基金资助项目(BSQD201403
BSQD201508)
关键词
维护调度
多设备混联系统
故障率
状态信息
遗传算法
maintenance scheduling
multi-component serial-parallel system
failure rate
prognostic information
genetic algorithm
