基于HLA的维修保障仿真系统开发

首先简单介绍了维修保障的概念和高层体系结构（High Level Architecture,HLA）的特点,然后着重分析了我军师、旅、团一级作战单元的维修保障系统的组成和特点,指出了研究师、旅、团一级作战单元的维修保障系统的意义和难点。之后,在分析的基础上提出了建立基于高层体系结构（HLA）的维修保障仿真系统的总体思路,并对仿真系统的联邦成员进行了划分和功能介绍,对仿真系统的对象类和交互类进行了详细设计,最后给出了整个维修保障仿真系统的总体工作流程。     

参数对预防性维修模型的影响分析与仿真

为了给可修部件预防性维修提供科学合理的理论依据,基于随机理论中的连续时间马尔科夫过程,建立了可修部件的预防性维修模型,分析和仿真了预防性维修模型中的维修率及检查率变化对模型稳态值影响。基于可修部件的预防性维修模型,也就是其状态转移图,计算出预防性维修模型的稳态值,分析检查率及维修率对稳态值影响,得出维修率及检查率对可修部件预防性维修模型影响的理论依据。最后借助Matlab软件对所分析出的结果进行了仿真验证。结果表明,理论分析与仿真结果是一致的。明白参数对可修部件预防性维修模型稳态值的影响对正确的选取参数,从而对获得期望的稳态值有一定的帮助。     

考虑车辆调度的周期性预防维修模型

维修中心对客户周期性的预防性维修通常只针对单设备进行优化,很少考虑维修车辆的调度问题,因此所得的方案往往不具有操作性.根据设备的故障规律,在研究合理的预防维修次数、维修间隔的前提下,充分考虑维修车辆的调度问题,对维修中心的成本因素进行分析并在满足设备可靠性的基础上建立了维修中心的成本最小化模型.通过仿真分析,得到最优的预防性维修次数,维修间隔和维修车辆路径,证明了模型的可行性和科学性,为维修中心的周期性预防维修提供决策支持.     

二维产品二维预防性维修间隔期优化研究

针对故障受日历时间与使用时间共同影响的二维产品,传统的一维预防性维修已不能满足实际需求,鉴于此,本文创新性的提出了二维预防性维修的概念,以日历时间与使用时间对二维产品进行维修决策。首先建立二维产品故障率函数表达式,对二维预防性维修的过程进行具体的分析,然后以单位时间费用最小为约束目标,建立了无限使用期二维预防性维修模型,提出了最佳二维预防性维修间隔期,并通过实例对比分析了该模型的适用性与有效性,最后对未来的二维维修提出了展望。     

基于随机系数回归模型的退化过程及维修策略

随机系数回归模型是一种描述设备退化过程的重要模型.在基本随机回归系数模型的基础上,运用加速失效时间模型,加入协变量的影响,对设备的退化过程进行建模分析.针对退化过程设置两类更新阈值,一类是预防性维修更新阈值,一类是故障更新阈值.当设备的运行状态被监测到达到或超过预防性更新阈值时,设备将被预防性维修更新,一个预防性更新周期完成;当设备的运行状态被监测到达到故障阈值时,设备将被故障更新,一个故障更新周期完成.运用更新回报定理,对两类更新周期内的单位时间期望维修费用建立模型,对模型求解可得设备的最优监测区间和最优预防性维修阈值.为进一步对所建立的模型进行验证,设计仿真过程求解最优值,并运用数值案例对所建立的模型和仿真过程进行计算.     

基于仿真的生产设备预防性维修周期研究

为了对生产系统中的设备故障加以有效的控制，从而减少设备故障的发生，文章对生产设备的预防性维修周期问题进行了研究。通过建立生产设备预防性维修的费用模型，利用仿真的方法对不同维修策略的预防性维修周期进行优化选择。该模型综合考虑了修复性维修成本、预防性维修成本和生产损失成本。最后以故障分布形式为威布尔分布的设备为例进行仿真实验，得出设备最优维修周期结果，并阐述了经济原则对预防性维修周期的影响。     

军用飞机保障能力评价建模与仿真

在对军用飞机维修保障过程分析的基础上,运用离散事件建模方法和计算机建模与仿真技术建立了飞机维修保障仿真模型。仿真出飞机使用可用度（A0）、出动架次率（SGR）、备件延误时间（SDT）、系统无故障工作时间（MTBF）等指标,来评价保障能力。仿真模型可以量化分析影响军用飞机保障能力的各种因素,显示、预测保障系统运行状态,提供辅助决策。通过改变任务计划、备件策略、维修策略。做动态敏感性分析。可以评价不同方案的维修保障能力,改进现有维修保障系统。仿真模型目前应用于航空兵部队团级保障能力评价,今后还将对未定型飞机开展维修保障仿真验证。     

基于Petri网的维修保障过程可视化建模与仿真

为解决民用飞机维修保障过程中资源影响复杂性及时间消耗不确定性的难题,提出基于模糊时间着色Petri网的民用飞机维修保障过程可视化建模方法与仿真。分析维修保障各个过程的资源充足度及时间消耗不确定性对整个维修保障活动的影响,动态地显示资源状态及模糊时间。以民用飞机起落架液压系统故障为例进行可视化建模与仿真,动态的仿真过程及最终结果验证了模型的可行性及算法的正确性,其能够为民用飞机维修保障过程的效率评估以及薄弱环节的确定提供支持。     

S4000P规范下装备预防性维修分析方法的研究

在装备多样化以及演习实战化背景下,如何高效且经济的对装备进行保障,已成为影响部队战斗力的重要因素,为此,西方发达国家制定了一系列有关装备保障的国际规范集。首先,阐述了国际规范间的数据关系,重点对有关制定和持续改进预防性维修任务的S4000P进行了介绍,该规范在装备保障工作中起到了承上启下的关键作用。其次,分析了预防性维修任务定义的工作流程以及涉及到的方法,包括确定分析系统、系统故障模式及其影响分析、功能故障层级、预防性维修任务定义分析、维修间隔分析。最后,通过某装备刹车系统为实例对该方法的适用性进行了验证,结果证明了方法的有效性,对国内开展装备综合保障相关工作具有一定的指导意义。     

装备维修资源需求仿真系统的设计与实现

维修资源是维修保障系统的重要组成部分,如何科学合理地预测各种维修资源的需求是摆在我们面前的一项紧迫而严峻的任务.文章从装备维修保障的实际需求出发,在对维修保障系统运行过程分析的基础上,用UML建立了仿真流程图.根据软件需求分析,在功能模块和数据库设计的基础上,利用VB语言和Access数据库开发了维修资源需求仿真系统.最后还进行了案例应用,验证了该仿真系统能实现维修资源需求的快速和准确预测,为维修保障的科学决策提供了依据.     

Recursive operation time maximization model for the maintenance of power generation equipment

Repairable equipment requires preventive maintenance (PM) to maintain proper function. An appropriate PM strategy can extend the life of equipment and reduce variable costs. A power generation company in Taiwan that has a fixed-period PM strategy is studied. However, a fixed-period PM strategy is usually not an optimal solution for maintaining equipment those ages gradually. An age-related dynamical model is designed for creating a timely maintenance schedule that extends the life of equipment and improves its efficiency. A recursive mathematical programming model that considers regular maintenance, emergent maintenance, and maintenance improvement factors is used to obtain the optimal equipment PM schedule. An empirical experiment with the nonperiodic PM schedule computed using the proposed method was conducted. Results show a significant reduction in the PM cost and an extension of the life of equipment.     

考虑设备随机故障的装备维修作业调度方法

装备维修过程中,维修设备随机故障这一不确定因素易对正常的维修计划造成影响。为了优化制定维修设备随机故障条件下的维修作业调度决策方案,依据维修设备的故障特点,提出一种基于组合调度策略的维修作业调度方法。调度方法兼顾完成时间与鲁棒性两方面目标,通过调度优化模型生成调度决策方案,并采用一种组合调度策略进行方案调整以改善决策方案的鲁棒性。通过随机故障事件模拟实验与分析,验证了调度方法能有效地减少设备随机故障造成的工序延误。     

基于Stateflow的设备维修过程仿真研究

设备维修是工业企业的一项复杂工作,提高设备维修的效率对减少维修周期、节省企业成本具有重要意义。针对传统计划评审技术（PERT）在设备维修过程工期计算和关键路线分析等方面的局限,提出了基于Stateflow的设备维修过程仿真方法,进行了实例分析。仿真结果表明,基于Stateflow的仿真分析方法能够有效评估设备维修过程的完工时间和关键线路的分布情况,具有可视化、流程化和层次化的特点。     

基于三阶段时间延迟模型的设备预防维修策略

针对设备劣化过程中出现多种非正常状态的问题,提出基于三阶段时间延迟理论的设备维修模型.首先,设备从缺陷到故障的过程并不只服从同一分布,因此,基于三阶段时间延迟模型,将设备故障分为初始缺陷、严重缺陷和故障3个状态,不同阶段定义不同的分布函数以模拟设备的劣化过程;其次,分析设备缺陷、故障发生的时刻与阈值时间点之间的关系,对维修情况进行分类,建立维修总期望费用模型,以单位时间维修费用最小为决策目标,求解出最佳预防维修周期时间和最佳阈值时间;最后,利用遗传算法求解数学模型,通过算例分析验证模型的有效性.所提出方法有助于企业根据维修计划定期进行预防维修检测,根据不同情况对设备出现的初始缺陷状态和严重缺陷状态进行预防维修.     

基于拆卸序列的多部件设备机会维护策略研究

针对多部件设备进行维护时未考虑需要拆卸的问题,建立了一种基于拆卸序列的多部件设备机会维护策略模型.首先,以拆卸混合图表示部件间的拆卸序列,进而得出各部件的拆卸时间和拆卸成本;然后针对各部件的衰退过程,结合役龄递减因子和故障率递增因子的混合故障率来描述各部件的衰退特性;其次,在此基础上,以设备的机会维护时间窗为决策变量,在设备满足一定可用度的情况下,以设备在有限运行时间内的最低维护成本为优化目标,求解设备的最优预防维护计划;最后,通过数值仿真分析,验证所提出的多部件设备机会维护策略的有效性.     

Joint determination of lease period and preventive maintenance policy for leased equipment with residual value

This paper investigates the influence of the length of the lease period on the maintenance policy for leased equipment with residual value. The length of the lease period increases, however, the lessor’s income increases, and the maintenance cost of the equipment rises as well. Therefore, the lease payment and maintenance service of the equipment are crucial items in the lease contract for the lessor’s profit. If the equipment breaks down within the lease period, minimal repairs will be performed on the equipment and the lessor may incur a penalty cost if the repair time exceeds a pre-specified tolerable time. The imperfect preventive maintenance (PM) actions are carried out when the age of the equipment reaches a controlled-limit during the lease period. Under this maintenance scheme, the mathematical model of profit is constructed and then the optimal maintenance policy and the length of the lease period are obtained such that the expected total profit is maximized. Finally, numerical examples are given to illustrate the effects of the optimal length of the lease period and the maintenance policy for profit model.     

面向生产过程的CBM策略效益评估方法研究

针对当前设备维修策略选择主要依据人工经验或故障后果严重程度的不足,从产品生产过程涉及的多个设备维修问题出发,提出一种定量评估基于状态维修(CBM)策略效益的方法.利用离散事件仿真模拟整个生产过程,根据预测的设备故障时间分布和故障设备的维修时间构建维修策略效益评估的基本框架.以某个加工生产线为应用对象,使用ExtendSim可视化仿真软件包建立生产线的仿真模型,按照维修策略效益评估流程设计三种应用案例,评估事后维修、定期维修和基于状态维修产生的效益,结果表明,基于状态维修策略产生的效益最大,从而验证该评估方法的可行性,可为工程实际中最优维修策略的选择提供依据.     

Extended periodic imperfect preventive maintenance model of a system subjected to shocks

This article deals with a periodic imperfect preventive maintenance (PM) model of a system subjected to random shocks. A system is subject to shocks that arrive according to a non-homogeneous Poisson process. As shocks occur, the system experiences one of the two types of failures: type-I failure (minor) and type-II failure (catastrophic). Type-I failures are rectified by minimal repair. The system is maintained following the occurrence of a type-II failure or at age T, whichever takes place first. At the N-th PM, the system is replaced. An approach that generalises the existing works on the periodic imperfect PM policy is proposed. The imperfect PM model adopted is hybrid in the sense that it not only reduces the effective age of the system but also alters the system hazard rate. Taking random minimal repair costs into consideration, the objective consists of finding the optimal PM and replacement schedules that minimise the expected cost per unit time over an infinite time-horizon.     

Optimal lot-sizing problem with imperfect maintenance and imperfect production

In this paper, we develop an integrated model for the joint determination of both economic production quantity and level of preventive maintenance (PM) for an imperfect production process. This process has a general deterioration distribution with increasing hazard rate. The effect of PM activities on the deterioration pattern of the process is modelled using the imperfect maintenance concept. In this concept, it is assumed that after performing PM, the ageing of the system is reduced in proportion to the PM level. After a period of time in production, the process may shift to out-of-control states, either type I or type II. A minimal repair will remove the type I out-of-control state. If a type II out-of-control state occurs, the production process has to stop, and then restoration work is carried out. Examples of Weibull shock models are given to show that the use of PM reduces costs.     

An optimal production lot-sizing problem for an imperfect process with imperfect maintenance and inspection time length

This article develops an integrated model in considering the situations of an imperfect process with imperfect maintenance and inspection time for the joint determination of both economic production quantity (EPQ) and preventive maintenance (PM). This imperfect process has a general deterioration distribution with increasing hazard rate. Even with periodic PM, such a production system cannot be recovered as good as new. This means that the system condition depends on how long it runs. Also, the PM level can be distinct due to the maintenance cost. For convenience, it is assumed the age of system is reduced in proportional to the PM level. Further, during a production cycle, we need an inspection to see if the process is in control. This inspection might demand a considerable amount of time. In this article, we take PM level and inspection time into consideration to optimise EPQ with two types of out-of-control states. To see how the method works, we use a Weibull shock model to show the optimal solutions for the least costs.