核电站预防性维修管理的计算机集成

本文结合田湾核电站预防性维修管理的计算机集成实践,从预防性维修管理的系统性规划、预防性维修配置信息的整合等方面对核电站预防性维修管理的计算机集成进行了探讨。     

战术导弹发射装置预防性维修方法研究

从制定战术导弹发射装置预防性维修体制的方法入手,分析研究了常见的基层级预防性维修工作的时机和内容,给出了战术导弹发射装置预防性维修主要指标的数学模型并进行了实例验证,为最终实现战术导弹发射装置最佳预防性维修方法的制定提供了科学的理论依据.     

复杂电子系统预防性维修评估指标研究

对目前的维修指标分类进行了研究,确定以设备性能、维修成本和维修计划完成情况作为复杂电子系统预防性维修评估指标的选取方向。经过层层筛选,最终确定了由设备有效度、维修时间达标率和维修操作完成率组成的预防性维修评估指标体系。     

预防性维修的探索与实践

介绍了建立预防性维修系统的思路及组成和功能,重点阐述维修分析的工作流程和分析方法及相关分析表格的设定（FMECA、RCMA、LORA、MTA）,根据分析结果最终确定预防性维修工作和维修资源供应方案。     

煤矿工程中的机电设备维修管理模式分析

阐述煤矿机电设备维修管理模式,优化煤矿机电设备维修管理系统,包括预防性维修、计划性维修、事后维修、多元化维修的管理模式、维修管理标准的完善。     

结合电类产品特点开展RCM分析

1 引言 人们通常认为,预防性维修只是在机械结构、设备中进行的,制订预防性维修大纲的“以可靠性为中心的维修分析”(RCMA)在电类产品行业中未引起重视。国家军用标准GJB1378—92《装备预防性维修大纲的制订与方法》在电类设备中推广应用很少。去年2月IEC发出了《The reliability centered maintenance(RCM)standard》征求意见稿(TC56秘书处文件394)。这将是首次编制的RCM国际通用标准。该标准稿是IEC的TC56(即可信性技术委员会)1990年11月会议讨论并循环征求意见后,由工作组几年准备完成的。IEC的RCM标准的编制表明:在电气、机电、电子设备研制中推广应用RCMA技术,同样是必要的、有意义的。 “RCM”的本意是:按照以最少的维修资源消耗保持装备固有可靠性和安全性的原则,应用逻辑决断的方法确定装备预防性维修要求的过程(GJB1376)。由此可见,RCM首先是制订设备预防性维修大纲的一种科学方法。而预防性大纲是设备预防性维修总的安排,包括维修     

红外检测技术应用于电路预防性维修的研究

文章分析了电路预防性维修的难点,归纳了能够进行预防性维修的元器件适用范围,对利用红外检测技术检出电路潜在故障进行了探讨,通过实验验证了方法的可行性。     

预防性维修活动关键件的确认方法和流程

介绍了失效分析方法在预防性维修工作方面的应用,可以用于确认失效元器件是否存在明显的耗损机理,从而判断部件是否需要定期更换.结合装备的维护使用,提出了确定关键件及其预防性维修间隔期的一般工作流程.     

有线电视系统前端设备预防性维修

有线电视系统前端设备预防性维修徐兵（江苏仪征市广播电视局）预防性维修的含义是：对系统采取预防性工作，以便抢在障碍发生前而不致到事后再作抢修。作为ＣＡＴＶ系统中心的前端设备，它是否能正常工作直接影响着整个有线电视系统的有效工作，另外由于有线电视系统一旦...     

制丝线设备预防性维修管理体系的建立

郑州卷烟厂制丝车间根据制丝线设备工作和运行特点,通过提高员工素质,建立服务型团队发挥设备综合效能、把设备维修前置为保养和改善,实施设备的预知性管理、建立"设备故障库"为主的"设备管理平台系统"等手段,开展设备预防性维修活动,并建立了一整套设备预防性维修管理体系。     

Optimal policies with decreasing probability of imperfect maintenance

This study applies periodic preventive maintenance to three repair models: major repaired, minimal repaired, or fixed until perfect preventive maintenance upon failure. Two types of preventive maintenance are performed, namely imperfect preventive maintenance, and perfect preventive maintenance. The probability that preventive maintenance is perfect depends on the number of imperfect maintenance operations performed since the last renewal cycle. Mathematical formulas for the expected cost per unit time are obtained. For each model, the optimum preventive maintenance time T/sup */, which would minimize the cost rate, is discussed. Various special cases are considered. A numerical example is presented.     

Optimal preventive maintenance with repair

A minimal preventive-maintenance model is developed for repairable, continuously-operating devices whose conditions deteriorate with the time in service. The times to preventive maintenance have an Erland distribution and can be, in a limiting case, deterministic. The optimal value of the mean time a preventive maintenance is determined by minimizing the unavailability of the device due to preventive maintenance, to Poisson-distributed failures, and to deterioration failures. The model is useful for many devices, including electric power-system components such as coal pulverizers, circuit breakers, and transformers     

基于Gamma过程的单部件系统预防维修与更换策略

针对一类伽马（Gamma）劣化失效的单部件系统,提出了一种预防维修和预防更换策略。用伽马分布描述了系统的劣化过程,部件为不完全维修,系统维修效果假定服从正态分布。所建立的模型以部件生命周期单位时间内期望费用作为优化目标,通过求解模型可以确定预防性维修的次数、预防维修和预防更换的阈值。最后通过对一个伽马退化部件进行案例分析,验证了模型的可操作性。     

Reliability/performance evaluation for a multisystem with preventive maintenance

In general, a computing system with high reliability can be achieved by redundancy and/or maintenance. The sophisticated maintenance techniques are more and more important since a computing system can be operated by applying remote maintenance. In this paper we discuss a multisystem with preventive maintenance, which is one of the fault-tolerant computing systems. Making the suitable assumptions, we construct a stochastic model of such a computing system for evaluating reliability/performance. Applying Markov renewal and queueing theories, we analytically obtain several reliability/performance measures. Calculating such measures numerically, we show the impacts of preventive maintenance on such a computing system.     

电真空器件预防性维修间隔期的确定方法

以可靠性为中心的维修思想极大地提高了装备维修的科学性。基于电真空器件的失效规律，从可靠性、安全性、经济性方面研究了电真空器件预防性维修间隔期的定量分析方法，结合算例论证了分析模型的有效性。     

考虑不完全维护影响的随机退化设备剩余寿命预测

针对寿命周期中存在不完全维护影响的随机退化设备剩余寿命难以预测的问题,提出了一种考虑不完全维护影响的退化建模和剩余寿命预测方法.首先,在Wiener过程理论架下,建立了能够表征不完全维护影响的分阶段退化过程模型,然后从阶段时间服从的逆高斯分布出发,利用逆高斯分布的卷积特性,从理论上推导出存在不完全维护下寿命分布的解析解,并将维护效果的随机性和维护次数的影响传递到寿命分布中.进一步通过时间尺度变换,得到了考虑未来存在不完全维护影响下的剩余寿命分布解析解.通过极大似然估计和最小二乘法对模型未知参数进行了估计.最后将本文方法应用到陀螺仪的实际退化过程中,验证了所提方法的有效性.     

Continuous-time predictive-maintenance scheduling for adeteriorating system

A predictive-maintenance structure for a gradually deteriorating single-unit system (continuous time/continuous state) is presented in this paper. The proposed decision model enables optimal inspection and replacement decision in order to balance the cost engaged by failure and unavailability on an infinite horizon. Two maintenance decision variables are considered: the preventive replacement threshold and the inspection schedule based on the system state. In order to assess the performance of the proposed maintenance structure, a mathematical model for the maintained system cost is developed using regenerative and semi-regenerative processes theory. Numerical experiments show that the s-expected maintenance cost rate on an infinite horizon can be minimized by a joint optimization of the replacement threshold and the a periodic inspection times. The proposed maintenance structure performs better than classical preventive maintenance policies which can be treated as particular cases. Using the proposed maintenance structure, a well-adapted strategy can automatically be selected for the maintenance decision-maker depending on the characteristics of the wear process and on the different unit costs. Even limit cases can be reached: for example, in the case of expensive inspection and costly preventive replacement, the optimal policy becomes close to a systematic periodic replacement policy. Most of the classical maintenance strategies (periodic inspection/replacement policy, systematic periodic replacement, corrective policy) can be emulated by adopting some specific inspection scheduling rules and replacement thresholds. In a more general way, the proposed maintenance structure shows its adaptability to different possible characteristics of the maintained single-unit system     

Joint optimization of block-replacement and periodic-review spare-provisioning policy

This paper considers the problem of joint optimization of "preventive maintenance" and "spare-provisioning policy" for system components subject to wear-out failures. A stochastic mathematical model is developed to determine the jointly optimal "block replacement" and "periodic review spare-provisioning policy." The objective function of the model represents the s-expected total cost of system maintenance per unit time, while the preventive replacement interval and the maximal inventory level are chosen as the decision variables. The objective function of the model is in an analytic form with parameters easily obtainable from field data. The model has been tested using field data on electric locomotives in Slovenian Railways. The calculated optimal values of the model decision variables are realistic. "Sensitivity analysis of the model" shows that the model is relatively insensitive to moderate changes of the parameter values. The results of testing and of sensitivity analysis of the model prove that a trade-off exists between the replacement related cost and the inventory related cost. The jointly optimal preventive replacement interval defined by this model differs appreciably from the corresponding interval determined by the conventional model where only replacement related costs are considered. Also, the results of the sensitivity analysis show that even minor modification of the value of each model decision variable (without the appropriate adjustment of the value of the other decision variable) can lead to important increase of the s-expected total cost of system maintenance. This indicates that separate optimization of preventive maintenance policy and spare-provisioning policy does not ensure minimal total cost of system maintenance. This model can be readily applied to optimize maintenance procedures for a variety of industrial systems, and to upgrade maintenance policy in situations where block replacement preventive maintenance is already in use.     

A Technique for Optimal Sequential Maintenance Scheduling

This paper presents the mathematical development of, and a simple solution technique for, an optimal sequential maintenance scheduling problem. The model is shown to satisfy the Kuhn-Tucker conditions, the necessary and sufficient conditions for the existence of an optimal solution. Real-world systems consisting of mixtures of constant and increasing failure rate devices are considered in the model. Sequential preventive maintenance schedules are developed for groups of identical items with increasing failure rates. Provision is made for the corrective maintenance of these groups if failures occur in between the preventive maintenance schedules. Also, constant failure rate devices are accorded corrective maintenance when failures occur. Optimality is achieved by minimizing the total annual maintenance cost, subject to constraints on the system availability, number of maintenance personnel and intervals of preventive maintenance. The model is applied to a coal mine power system example.     

数据中心蓄电池自动预防性维护策略探究

本文分析了现有的数据中心蓄电池使用时间和容量不能达到预期设计的问题进行了探究,针对数据中心电池在多次充放电之出现损耗的问题,对单体蓄电池的性能进行分析,首先建立CPU/内存/IO/PSU使用率能耗模型优化,根据预测出的CPU/内存/IO/PSU使用率服务器恒功率负荷曲线,再利用DCIM蓄电池自动预防性维护调度算法得出24h内的服务器恒功率负荷的不同变化区间内最优蓄电池自动预防性维护充放电恒功率策略,即每个服务器负荷恒功率的不同区间内电池是否可进行恒功率充放电维护。以此达到利用服务器恒功率大小来设定蓄电池维护所需放电恒功率大小的目标,完成数据中心蓄电池自动预防性维护策略。