几种维修质量评估方法的探讨

1.引言装备维修是保持、恢复及提高战斗力的重要因素.如何加强维修质量管理,提高维修质量水平,保证装备良好的战备完好率,是高技术战争条件下装备技术保障工作的一项重要任务.提高装备维修质量,一方面要建立质量保证体系,开展全面维修质量管理工作,做好维修生产过程的监督和控制;另一方面要做好装备修后的质量跟踪,开展装备维修质量评估.后者是及时发现与纠正维修生产过程中影响维修质量的薄弱环节和问题,提高装备维修质量的一项重要措施.     

直方图法在雷达故障数据统计分析中的应用

提出了直方图的绘制方法、步骤以及主要类型,运用此方法在雷达故障数据统计中进行分析应用,为雷达装备维修提供重要依据.     

装备维修管理重组影响因素分析及方法研究

通过对我军装备维修管理系统的分析,找到影响装备维修管理的三个主要因素(结构-组织结构;运行-管理与决策过程;组元-人员配置)。通过对三个因素进行重组探讨,提出了装备维修管理重组的思路、程序和方法,并讨论实施重组过程中应注意的问题。     

基于计算机辅助控制的产品质量生命周期管理方案

现在生产过程中质量控制开始逐步向计算机辅助质量控制的方向发展。本文将从利用三坐标测量机,一种典型的通用计算机辅助测量设备,UG,VSA,DPV等计算机辅助质量控制软件,提供一个产品质量控制方案即:从产品GDT的检验与修改,实际测量到最终的检测数据发布的一个过程,来最终实现产品质量的控制。     

基于信用度分类遮挡问题解决方法

在基于立体视觉的立式风洞飞机尾旋姿态测量过程中,遮挡问题是困扰测量的一个难题.遮挡问题的常用解决方法需要恢复连续的被遮挡空间,计算量大,且不容易保证精度.针对特征点测量的遮挡问题,本文提出一种基于信用度分类的解决方法,在被遮挡空间搜索感兴趣点的最佳近似,并且通过引入信用度因子的组合计算,控制和提高最佳近似点的计算精度.文中分析了辅助计算点的测量误差所带来的搜索定位困难,信用度因子的引入可以弱化不精确辅助点对搜索结果的影响,使搜索过程主要依赖可靠的点进行.最后,通过仿真实验分析了该方法的可靠性,并说明其在飞机尾旋运动测量实验中对测量结果的有效改善.     

柔性装配测量系统的质量控制

为满足飞机装配大尺寸、高精度、测量点分散的测量要求,对3类便携式坐标测量设备的优缺点、测量准确度和应用场景进行了比较.文章以激光跟踪仪为例对影响柔性装配测量过程的主要因素诸如跟踪仪及其附件精度、人员、环境波动、测量方法等进行了说明并提出了管控建议.将上述影响因素控制在可以接受的范围,能够提高测量结果质量,保证检测精度.     

高精度圆柱度测量方法

针对某军机喷嘴主衬套和外贸关键件的圆柱度精度要求较高、测量误差相对较大的问题,利用公司新进口的新型圆柱度测量仪及其软件,采用半径测量法,运用误差分析理论,分析了测量过程的主要误差来源和影响因素;结合加工实际情况选择了相应的评定方法,实现了高精度圆柱度的准确测量;制定了操作流程,保证了准确的测量结果,为产品生产过程的质量控制提供了准确依据.     

BEPCⅡ SSM磁体控制阀箱内氦冷却管线热应力分析

北京正负电子对撞机重大改造工程(BEPCⅡ)超导螺线管磁体(SSM)的控制阀箱是该磁体低温冷却系统的主要设备之一,用来分配、调节和控制超导磁体及其电流引线的冷却介质流量.低温下磁体超导导线及其冷却管会产生冷缩变形,变形量要在控制阀箱内给与补偿.同时阀箱内来流和回流氦冷却管线布置紧凑,需要判断是否要采取措施来补偿冷缩变形.本文运用有限元分析软件ANSYS对BEPCⅡ SSM控制阀箱内冷却管线的热应力进行模拟及分析,从而为该阀箱内冷却管线的设计及布局提供理论依据.     

NS-2的SSM协议仿真扩展研究

对SSM实现中的关键技术进行了研究,在此基础上分析了基于NS-2的IP组播模拟器的结构与原理.通过对NS-2中的IP组播路由仿真模块结构的修改,实现对SSM协议的仿真扩展.     

虚拟维修技术在军械保障训练中的应用

首先介绍了当前装备维修训练中存在的问题和虚拟现实技术及其运用在装备维修训练上所产生的巨大效益,然后给出了虚拟维修本身的特点及应满足的要求,最后给出了三维建模的规则和人机工程学的实施途径,方法及“沉浸”感的几种实现方法。     

装甲装备器材保养包装平台的构建

装甲装备器材保养包装是器材储备供应体系的重要环节,是保证器材质量完好、提高器材保障能力的重要技术措施。以保养包装新模式为理论指导,研制了自动化保养设备及系列保养包装材料,制定了保养包装规范,开发了质量管理信息系统,在此基础上,设计并建设了装甲装备器材保养包装平台,全面提升了装甲装备器材保养包装质量与效能。     

A methodology for simultaneous optimisation of design parameters for the preventive maintenance and quality policy incorporating Taguchi loss function

The performance of a production system depends on the breakdown-free operation of equipment and processes. Maintenance and quality control play an important role in achieving this goal. In addition to deteriorating with time, equipment may experience a quality shift (i.e. process moves to out-of-control state), which is characterised by a higher rejection rate and a higher tendency to fail. This paper develops an integrated model for joint optimisation of preventive maintenance interval and control parameters incorporating the Taguchi loss function. We consider two types of maintenance policies: minimal corrective maintenance that maintains the state of the equipment without affecting the age and imperfect preventive maintenance that upgrades the equipment in between ‘as good as new’ and ‘as bad as old’ condition. The proposed model enables the determination of the optimal value of each of the four decision variables, i.e. sample size (n), sample frequency (h), control limit coefficient (k), and preventive maintenance interval (t _PM) that minimises the expected total cost of the integration per unit time. A numerical example is presented to demonstrate the effect of the cost parameters on the joint economic design of preventive maintenance and process quality control policy. The sensitivity of the various parameters is also examined.     

Integrated predictive maintenance strategy for manufacturing systems by combining quality control and mission reliability analysis

Predictive maintenance (PdM) is an effective means to eliminate potential failures, ensure stable equipment operation and improve the mission reliability of manufacturing systems and the quality of products, which is the premise of intelligent manufacturing. Therefore, an integrated PdM strategy considering product quality level and mission reliability state is proposed regarding the intelligent manufacturing philosophy of ‘prediction and manufacturing’. First, the key process variables are identified and integrated into the evaluation of the equipment degradation state. Second, the quality deviation index is defined to describe the quality of the product quantitatively according to the co-effect of manufacturing system component reliability and product quality in the quality–reliability chain. Third, to achieve changeable production task demands, mission reliability is defined to characterise the equipment production states comprehensively. The optimal integrated PdM strategy, which combines quality control and mission reliability analysis, is obtained by minimising the total cost. Finally, a case study on decision-making with the integrated PdM strategy for a cylinder head manufacturing system is presented to validate the effectiveness of the proposed method. The final results shows that proposed method achieves approximately 26.02 and 20.54% cost improvement over periodic preventive maintenance and conventional condition-based maintenance respectively.     

Modelling maintenance effects on manufacturing equipment performance: results from simulation analysis

Equipment maintenance and system reliability are important factors affecting the organisation’s ability to provide quality and timely services to customer. While maintenance remains an important function to manufacturing, it is only recently that attempts have been made to quantify its impact on equipment performance. In this research, an approach of linking maintenance with equipment performance is developed using simulation modelling. The modelling approach involves defining probabilistic models and assumptions affecting system performance, such as: the probabilistic model for the initial failure rate/intensity of the equipment; the probabilistic model for the system deterioration and corresponding effect; the probabilistic model for the random times of corrective maintenance (CM) and preventive maintenance (PM) that takes into the account the types of maintenance plans/policies and the potential dependency between CM and PM times; and the probabilistic model for the random effects of CM and PM on the reliability of the equipment. Using a continuous manufacturing equipment, the model is used to analyse the impact of deterioration, failures and maintenance (policies, timing and efficiency) on equipment performance. It is shown that modelling the effect maintenance provides a basis of evaluating maintenance efforts with the potential application in performance evaluation and decision support while investigating opportunities for manufacturing equipment performance improvement.     

Modeling and Analysis of Complex Equipment Maintenance Dynamics

An equipment maintenance system is naturally a complex dynamical system. The effective mamanagement must be based on the knowledge of the system＇s intrinsic dynamics. And the strueture of the maintenance system determines its behavior. This paper analyzes the basic structures and elements of a maintenance system for complex multi-components equipment. The maintenance system is considered as a dynamic system whose behavior is influenced by its structure＇s feedback and interaction, and the system＇s available resources. Building the dynamical model with Simulink, we show some results about the maintenance system＇s nonlinear dynamics, ods. The model can be used for understanding and which operational adjustments of maintenance which are never given by stochastic process methdetermining maintenance system behavior, towards n of maintenance requirements and timely supply of maintenance resources can be made in a more informed way.     

设备管理及维护信息系统的开发与应用

设备管理及维护信息系统是预防性设备维护的重要基础,对于机械制造企业提高设备管理水平和维护工作效率有重要意义。通过对企业实际情况的深入调查,分析了企业设备管理的信息需求及维护工作业务流程,开发了设备管理及其维护信息系统。该软件系统主要包括系统管理、设备维修资源管理、设备故障信息管理、维修工作管理、维修决策和维修数据分析六部分。该系统已在汽车零部件制造企业中实施。     

变电站一次设备的状态检修探讨

变电站一次设备的安全运行对整个电网系统的安全运行起着至关重要的作用。一次没备是指发、输、配电的主系统上所使用的设备。如发电机、变压器、断路器、隔离开关、母线、电力电缆和输电线路等。近几年,随着社会的发展,电力的需求也不断提高,在供电过程中,一次没备的运行问题是导致非计划停电检修的主要因素,不仅给供电企业带来极大损失,也给用户的生活带来极大的不便。所以,如何解决好一次设备的维修问题是摆在我们面前的一个很实际的问题。本文就此进行探讨。     

高技术井下无轨设备管理方法探索

从加强高技术井下无轨设备前期管理、进行维修体制改革、建立预防性维修体系和以可靠性为中心的维修体系、加强现场管理、加快备件国产化进程等方面对高技术井下无轨设备管理方法进行阐述。     

基于数字孪生的复杂矿用设备预测性维护系统

针对恶劣工况环境下复杂矿用设备状态监测与预测性维护困难等问题,结合状态监测、故障预警和预测维护等多种综合建模与分析预测技术,提出了一种基于数字孪生的预测性维护系统。首先,介绍了复杂矿用设备数字孪生体的设计流程与构建原理,并在搭建数字孪生体的过程中实现了预测性维护系统的功能;然后,研究了基于LabVIEW、MySQL和Unity3D的状态数据获取方法,利用Unity3D开发引擎搭建了三维可视化复杂矿用设备状态监测平台,并通过虚拟空间可视化展示设备当前状态;最后,分析了优化BP（back propagation,反向传播）神经网络在复杂矿用设备故障预警中的适用性,同时利用MATLAB软件建立了复杂矿用设备关键零部件的预测性维护模型,并将预警结果通过MySQL数据库传输至Unity3D开发引擎,以驱动和部署预设维护流程,实现设备状态实时监测下的关键零部件故障预警。根据采煤机液压系统的实际维修流程,制定了混合现实（mixed reality, MR）预测性维护策略,并以采煤机摇臂部液压柱塞泵为实验对象开展有效性验证。结果表明,所构建的预测性维护系统的故障预测准确率高于90%,且故障预警结果可驱动HoloLens眼镜实现虚拟指导的维修交互,验证了该系统预测性维护功能的有效性。研究结果可为复杂矿用设备的预测性维护提供新思路。     

Research on Selection of Equipment Maintenance Modes

1 IntroductionEquipment failure will inevitably occur during a normal production process.Severe equipment failurewill conduce long time deadlock of a production system,lower production efficiency,and add extracost on products.Effective strategy should be adopted so as to reduce failure influence on equipment,reduce production cost and enhance market competition of products.In recent years,high-tech pro-duction equipment are improved,and production rates are more rapid.For the sake of maintain…