Modeling on spare parts inventory control under condition based maintenance strategy

In order to optimize the spare parts inventory, we present a decision-making model under condition based maintenance policy for a single equipment system subjected to continuous and random deterioration. Firstly, a probability model of the spare parts support is established, according to the requirement of a predetermined probability of stockout. It can determine the optimal spare parts stock level. Secondly, the spare parts ordering decision is made according to the equipment deterioration level, and it can optimize the spare parts ordering. The objectives of this model are to minimize the spare parts inventory, and the expected total operating cost. Thirdly, a numerical example is given to illustrate this model. The results prove that the optimal preventive maintenance threshold obtained from the proposed model can satisfy the spare parts support requirements.     

在资金预算不确定条件下路面维护和修复项目管理决策优化方法

一个得到良好开发和维护的路面管理系统（PMS）能够帮助管理者做出在什么时候,对哪些路段采用什么样的路面维护和修复方案的决定,从而实现可用资源的最大化.本文提出一种在资金预算不确定条件下路面维护和修复项目管理决策优化方法 (MPMRPBU),为确保管理者在一个决策规划时段内,从公路网中选择并优化一组路面维护和修复方案,建立随机线性规划模型求解MPMRPBU问题.通过案例分析,比较在确定性优化和随机规划两种不同条件下的优化方案,研究不同经济预算对优化方案的影响.结果表明,采用随机规划方法能产生高质量的MPMRPBU解决方案, 该算法可以解决实际问题.     

桥梁技术状况预测的灰色马尔可夫链模型研究

提出将灰色马尔可夫链用于桥梁的技术状况预测中,以解决传统的回归分析模型无法考虑不确定因素对结构技术状况的影响和概率型模型对单一桥梁预测的局限性问题,提出了将灰色模型GM(1,1)与马尔可夫链有机结合起来,利用二者的优点充分考虑了桥梁技术状况的整体趋势和局部波动情况,最大限度地利用历史信息.通过对国外某桥的技术状况进行预测分析并与传统的预测方法进行对比,证实了该模型的预测精度.     

Optimum Consecutive Preventive Maintenance Scheduling Model Considering Reliability

As an effective means for improving system condition and reducing failures, a reasonable preventive maintenance scheduling guarantees the stability and safety of the system. This paper studies a consecutive maintenance scheduling problem for single-component systems with imperfect maintenance, and an optimum model with minimum reliability constraint for minimal cost rate is developed based on the renewal theory. The agebased and reliability-based maintenance strategies are modeled and compared according to a numerical example based on the degradation data of the actual system, which also verifies the optimality of the reliability-based strategy. At last, the influence of some key parameters is discussed by sensitive analysis.     

基于KDE及Markov的高速列车传动系振动评价及可靠性分析

为研究高速列车运行过程中传动系的振动情况及可靠性，对CRH3型高速列车传动系关键部件的振动加速度数据进行实车采集，采用核密度估计（KDE）法对采集数据统计处理，得出各关键部件在各方向上振动响应的概率密度函数近似曲线，据此对传动系的关键部件进行振动评价；通过MATLAB计算各关键部件振动加速度的最优置信区间；对传动系及传动系的关键部件定义“安全”和“故障”两种状态，建立关键部件的威布尔比例失效率模型及传动系的Markov状态转移模型，以传动系当前状态为初始状态，基于实时故障率及维修率分析传动系可靠性的变化. 研究结果表明:传动系中轴箱轴承、齿轮箱以及电机轴承的垂向振动最强，振动加速度集中分布在25倍、20倍、10倍重力加速度范围内，概率99.75%的均方差值分别在20.5026倍、17.6712倍、11.4693倍重力加速度内；计算得到各关键部件振动加速度概率为99.75%的最优置信区间，为系统的振动监测阈值优化及故障评估提供参考；故障率及维修率是影响传动系统状态概率的关键因素，当故障率增加30%时，系统的状态概率约下降10%，当维修率由0.05提升至0.10时，可使系统的可靠性提高20%.      

Optimal Research on Equipment Maintenance Unequal Time-Interval Based on Simulation

The paper deals with systems suffered from gradual deterioration. To avoid functional failures and disastrous consequences, such systems should be monitored and preventively maintained. And to promote the maintenance effectiveness, an unequal time-interval maintenance policy was brought forward to substitute fixedinterval preventive maintenance strategy. At the same time, preventive and corrective maintenance actions are both assumed to be imperfect, and their impact on the system is expressed by the increment of failure rate. The case study shown that the unequal time-interval maintenance policy proposed in the paper is of help to promote the availability of the system.     

不确定系统的鲁棒D控制

针对一类范数有界参数不确定线性连续系统,研究了使得闭环系统的所有极点均配置在给定部分扇形区域中的状态反馈控制器设计问题.基于线性矩阵不等式(LMI)处理方法,给出了不确定线性系统存在鲁棒D控制的充分条件,并利用使两个LMIs同时成立的可行解给出了状态反馈控制器的设计算法和设计步骤.最后,通过一算例验证了结果的正确性和有效性.     

Development of a theory of constraints based scheduling system for ship piping production

Manufacturing of ship piping system is one of the major production activities in shipbuilding. The schedule of pipe production has an important impact on master schedule of shipbuilding. In this research, the theory of constraints (TOC) concept is introduced to solve the scheduling problems of piping factory, and an intelligent scheduling system is developed. The system integrates a product model, an operation model, a factory model and a knowledge database of piping production and can make the process planning and production scheduling automatically. In the paper, details of above points are discussed. Moreover, an application of the system in a piping factory, which achieves a higher level of performance as measured by tardiness, lead time and inventory, is demonstrated at the end of the paper.     

Research on marine structure inspection support system on mobile device platform

Ship and offshore structure often work in very severe environment. Therefore routine inspection and maintenance are essential to keep ship structure and equipment in good state, and can decrease the possibility of sea pollution and safety problems. Besides that, the activity of inspection and maintenance is also directly connected with cost control and condition assessment. Current inspection is still mainly based on paper and pen, so it is rather time-consuming for transferring inspection data from paper to computer system, and more difficult to make calculation based on the inspection records. In this paper, the concept of information integration model and inspection support system using mobile device is introduced. The structuralized data in the information integration model offer much convenience to data transferring. The inspection support system consists of one headquarter management subsystem and one inspector handling subsystem. A mechanism of data exchange between the two subsystems is developed based on standard inspection workflow. The headquarter subsystem works on computer, and the inspector subsystem is mobile application instead of paper and pen. Versatile tests and platform experiments are carried out to demonstrate and confirm the feasibility and validity.     

New Maintenance Strategies for Generating Companies in Power Market

A new approach to maintenance scheduling of generating units(MSU)in competitive electricity markets was presented,which was formulated as a noncooperative game with complete information.The payoff of each generating company(Genco)was defined as the profit from the energy auction market minus maintenance cost and risk loss.The compensation fee of interruptible load was a part of the maintenance cost when the permitted maintenance capacity in the system was insufficient.Hourly energy auction was incorporated in the computation of both revenues from energy market and risk loss of maintenance strategy as a nested game.A new heuristic search algorithm for the calculation of the game equilibrium of MSU was presented,which coordinates the solutions of non-equilibrium,unique equilibrium and multiple equilibria.Numerical results for a two-Genco system and a realistic system were used to demonstrate the basic ideas and the applicability of the proposed method,as well as its computational efficiency.     

Component-based model integration approach for computer numerical control system development

A component-based model integration framework for computer numerical control system design and development is presented.The model integrates modeling,simulation,verification and implementation in a uniform environment.The computer numerical control(CNC) modeling language with well defined syntax and unambiguous semantics is developed.Using the proposed CNC model integration method,a three axis milling system model is developed in the case study.The approach is an attempt to create an infrastructure to suppo...     

沥青路面性能衰减规律的经验法预测模型探讨

沥青路面性能衰减规律的预测模型是进行路面预防性养护管理的重要内容,通过采用经验法预测模型对性能指标IRI、PCI进行分析,来预测路面的使用性能,总结出经验法预测模型的建模程序和使用特点.     

基于概率的桥梁劣化模型与维护策略关系

桥梁结构在服役过程中,随着时间的推移,抗力不断降低,其性能逐渐退化.提出桥梁在服役过程中可靠指标的非线性指数劣化模型以及状态指标的非线性劣化模型,能够反映劣化过程中的高次变化规律,结合两种不同的周期预防性维护策略,推导了桥梁服役期间任意时刻可靠度指标与状态指标的计算公式,研究了桥梁可靠度指标与状态指标之间的相互关系.     

基于概率的桥梁劣化模型与维护策略关系

桥梁结构在服役过程中,随着时间的推移,抗力不断降低,其性能逐渐退化.提出桥梁在服役过程中可靠指标的非线性指数劣化模型以及状态指标的非线性劣化模型,能够反映劣化过程中的高次变化规律,结合两种不同的周期预防性维护策略,推导了桥梁服役期间任意时刻可靠度指标与状态指标的计算公式,研究了桥梁可靠度指标与状态指标之间的相互关系.     

Lifetime Reliability Analysis of Flexural Cracking for Prestressed Concrete Bridge

Time-dependant reliability is analyzed for the flexural cracking of prestressed concrete bridges under service limit state. The limit state function and random variables are derived from Chinese highway bridge design specifications. For deterioration of structural performances, chloride-induced reinforcement corrosion is emphasized. Through integrating first order reliability method (FORM) and time discretized approach, the time-variant reliability is evaluated. For illustrative propose, the reliability of a typical simply supported prestressed concrete beam is exemplified.     

民用航空发动机在翼时间控制方法

为了通过视情维修策略控制民航发动机在翼时间,分析了发动机维修与在翼时间的特点,建立了反映在翼时间与状态监测变量和故障强度之间关系的比例强度模型,确立了性能衰退下的在翼时间控制限与单位时间总成本期望值最小时的最优预防性维修间隔,并进行了CF6-80C2A5型发动机运营数据的实例验证。结果表明:故障强度小,则在翼时间控制限低;预防性维修与事后维修成本率会影响最优预防性维修间隔;完备的发动机拆换与在翼历史记录、维修成本、适航与制造商要求、寿命件限制等数据是提高在翼时间控制准确性的关键。     

公路养护现代化水平多级模糊评估

科学、高效的现代化公路养护作业与养护管理方法可使公路在使用年限内经常保持完好状态,从而最大限度地发挥公路的运输经济效益.根据公路养护的特点及公路养护现代化的内涵建立了公路养护现代化评估指标体系,根据模糊数学理论构建了公路养护现代化水平多级模糊评估模型,利用该模型可以对一个地区的公路养护现代化水平进行衡量和评估,从而找出存在的不足,为公路养护现代化建设起到引导作用.示例研究表明,该方法可行.     

Reliability Modeling and Maintenance Policy Optimization for Deteriorating System Under Random Shock

Performance degradation and random shock are commonly regarded as two dependent competing risks for system failures. One method based on effective service age is proposed to jointly model the cumulative effect of random shock and system degradation, and the reliability model of degradation system under Nonhomogeneous Poisson processes (NHPP) shocks is derived. Under the assumption that preventive maintenance (PM) is imperfective and the corrective maintenance (CM) is minimal repair, one maintenance policy which combines PM and CM is presented. Moreover, the two decision variables, PM interval and the number of PMs before replacement, are determined by a multi-objective maintenance optimization method which simultaneously maximizes the system availability and minimizes the system long-run expect cost rate. Finally, the performance of the proposed maintenance optimization policy is demonstrated via a numerical example.