修理工可多次在系统外工作的两部件并联系统可靠性分析

研究修理工可多次在系统外工作的两部件并联可修系统，在两个相同部件的寿命服从指数分布，部件修理时间和修理工在系统外工作时间均服从一般连续型分布的假定下，利用向量Ｍａｒｋｏｖ过程方法求出了系统的可靠性指标。     

完全信息下可修M/M/1排队系统的均衡分析

研究可修M/M/1排队系统的均衡策略.顾客到达系统后可以观察到系统的队长和服务台的状态（工作或处于修理状态）,根据这些系统状态、排队等待费用及完成服务后的回报报酬等信息,顾客将决定是否加入到系统中.本文在修理时间服从k阶Erlang分布的假设下得到了顾客选择进入排队系统的均衡阈值.     

温储备可修系统在两种开关模式下的可靠性

对由n个同型部件和一个修理设备组成的温储备可修系统，在部件寿命、开关寿命和维修时间均服从指数分布，并且所有变量相互独立等条件下，建立开关失效系统立即失效和开关失效系统不立即失效两种模型，利用齐次马尔可夫过程确定系统的转移概率，并在n＝2时，求出系统的一系列可取性数量指标．最后论证两种模式在某些特殊条件下的结果，即在一定范围内推广了前人的模型．     

两不同部件冷贮备可修系统的可靠性分析

本文利用向量Markov过程方法，研究两不同部件冷贮备可修系统，在部件的寿命服从指数分布，修理时间和修理工的休假时间均分别服从不同的一般连续型分布的假设下，求得了系统的可靠性指标。     

修理工可到系统外工作的n部件串联可修系统

本文利用向量Markov过程方法，研究修理工可到系统外工作的n部件串联可修系统，在n个不同部件的寿命服从指数分布、修理时间服从一般连续型分布，修复工在系统外工作时间服从一般连续型分布的假定下，求得了系统的可靠性指标，并分析了系统的经济效益。     

基于分组合并的多信道停等ARQ性能

从信道数、合并方式、分组丢失率、传输延迟等方面,分析了在Rayleigh衰落信道下具有分组合并的多信道停等ARQ性能.分析结果表明:对于多信道停等ARQ,需根据分组传输时间和往返延迟时间合理安排停等ARQ的信道数,以使ARQ系统性能达到最佳;根据信道质量,采用合适的分组合并方式可减少接收处理延迟;为获得恒定分组传输延迟和系统吞吐率,可根据分组丢失率要求和信道质量调整最大传输次数.     

特殊故障特殊修理的四状态可修系统

提出并研究了特殊故障需要特殊修理的四状态可修系统.假设系统有四种运行状态正常、异常、隐患、故障,有些故障需要特殊的修理,系统处于哪个状态需要诊断才能知道.利用概率分析和补充变量方法,求得了系统的可靠性指标.     

共因失效修理工多重休假的两相同部件串联系统的可靠性分析

研究了共因失效修理工多重休假的两相同部件串联系统的可靠性,在假定部件的失效分布服从指数分布,修理工修理时间和休假时间均服从一般连续型分布的条件下,利用补充变量法,得到了该系统的瞬时可用度和稳态可用度、系统的可靠度、系统的瞬时和稳态故障频度等重要可靠性指标。     

频率跳变系统码跟踪电路研究

对无线数据传输设备中使用的频率跳变扩频系统的码跟踪电路作了研究，首先提出了宽带信号的最佳跟踪问题，然后给出了频率跳变扩频系统的全时间前、后非相干码跟踪电路．分析了码跟踪电路的输入和输出关系及延迟锁定鉴别器输出端功率密度、鉴别特性曲线、码跟踪抖动等主要性能参数．     

特殊状态需要特殊修理的可修系统可靠性和诊断策略研究

研究了特殊状态需要特殊修理的可修系统的可靠性和诊断策略。假设系统有三种运行状态：正常状态、异常状态、故障状态，有些异常状态和故障状态需要特殊的修理，系统处于哪个状态需要诊断才能知道。当系统开始正常工作状态后，每隔一段时间μ进行一次诊断，直到系统故障或被诊断为异常。利用概率分析和补充变量方法，求得了系统的可靠性指标和最优检测周期。     

Numerical simulation to reliability analysis of fault-tolerant repairable system

In the traditional method for the reliability analysis of fault-tolerant system, the system structure is described by means of binary decision diagram (BDD) and Markov process, and then the reliability indexes are calculated. However, as the size of system augments, the size of state space will increase exponentially. Additionally, Markov approach requires that the failure and repair time of the components obey an exponential distribution. In this study, by combining dynamic fault tree (DFT) and numerical simulation based on the minimal sequence cut set (MSCS), a new method to evaluate reliability of fault-tolerant system with repairable components is proposed. The method presented does not depend on Markov model, so that it can effectively solve the problem of the state-space combination explosion. Moreover, it is suitable for systems whose failure and repair time obey an arbitrary distribution. Therefore, our method is more flexible than the traditional method. At last, an example is given to verify the method.     

随机选择修理工的可修系统的可靠性分析

提出可修系统中的一个新模型:可随机选择修理工的系统。并利用概率分析和补充变量法,求出了系统的重要可靠性指标。     

Reliability analysis of multi-state repairable system with dynamic transition probabilities

Inadequate maintenance decisions lead to incremental overall costs. In order to minimize costs in maintenance of the multi-state repairable system, we model a preventive maintenance (PM) scheme of the multistate repairable system using non-Markov process. The periodically decreasing reliability model of the non-Markov dynamic system with dynamic transition probabilities is established to satisfy the probability change. The diesel engine system is taken as an example to illustrate the model. The reliability of the diesel engine is analyzed and its PM scheme is worked out. RENO software is used to simulate the diesel engine system. The maintenance cost of components and the optimal PM interval data of the system are obtained by using the minimal average cost as the objective function. The adaptability of PM is judged, and the optimal PM scheme is presented.     

Multi-Point and Multi-Interval Availabilities for Markov Repairable Systems with History-Dependent Up and Down States

A Markov repairable system with history-dependent up and down states is presented. The state space of the repairable system is divided into three sets, which are up states, down states and changeable states.Using aggregated stochastic processes, we can get the multi-interval availability and multi-point availability for the Markov repairable system. Finally, numerical examples are given to illustrate the obtained results.     

Reliability analysis of repairable systems using stochastic point processes

In order to analyze the failure data from repairable systems, the homogeneous Poisson process(HPP) is usually used. In general, HPP cannot be applied to analyze the entire life cycle of a complex, re-pairable system because the rate of occurrence of failures (ROCOF) of the system changes over time rather thanremains stable. However, from a practical point of view, it is always preferred to apply the simplest methodto address problems and to obtain useful practical results. Therefore, we attempted to use the HPP model toanalyze the failure data from real repairable systems. A graphic method and the Laplace test were also usedin the analysis. Results of numerical applications show that the HPP model may be a useful tool for the entirelife cycle of repairable systems.     

Nonlinear Mixed-Effects Models for Repairable Systems Reliability

Mixed-effects models,also called random-effects models,are a regression type of analysis which enables the analyst to not only describe the trend over time within each subject,but also to describe the variation among different subjects.Nonlinear mixed-effects models provide a powerful and flexible tool for handling the unbalanced count data.In this paper,nonlinear mixed-effects models are used to analyze the failure data from a repairable system with multiple copies.By using this type of models,statistical inferences about the population and all copies can be made when accounting for copy-to-copy variance.Results of fitting nonlinear mixed-effects models to nine failure-data sets show that the nonlinear mixed-effects models provide a useful tool for analyzing the failure data from multi-copy repairable systems.     

Delay Restoration of Single-Track Railway Rescheduling

On the basis of analysis of the principle of delay restoration in a disturbed schedule, a heuristic algorithm for rescheduling trains is developed by restoring the total delay of the disturbed schedule. A discrete event topologic model is derived from the original undisturbed train diagram and a back propagation analysis method is used to label the maximum buffer time of each point in the model. In order to analyze the principle of delay restoration, the concept of critical delay is developed from the labeled maximum buffer time. The critical delay is the critical point of successful delay restoration. All the disturbed trains are classified into the strong-delayed trains and the weak-delayed trains by the criterion of the critical delay. Only the latter, in which actual delay is less than its critical delay, can be adjusted to a normal running state during time horizon considered. The heuristic algorithm is used to restore all the disturbed trains according to their critical details. The cores of the algorithm are the iterative repair technique and two repair methods for the two kinds of trains. The algorithm searches iteratively the space of possible conflicts caused by disturbed trains using an earfiest-delay-first heuristics and always attempts to repair the earliest constraint violation. The algorithm adjusts the weak-delayed trains directly back to the normal running state using the buffer time of the original train diagram. For the strong-delayed trains,the algorithm uses an utility function with some weighted attributes to determine the dynamic priority of the trains, and resolves the conflict according to the calculated dynamic priority. In the end, the experimental results show that the algorithm produces ＂good enough＂ schedules effectively and efficiently in disturbed situations.     

基于嵌入式的轨道交通GPS时间服务器设计

设计基于嵌入式的轨道交通GPS时间服务器。进行多项冗余设备设计确保系统的可靠性;同时系统嵌入NTP网络协议处理网络传输延时,确保系统时间的精确性。系统提供RS485、Zigbee、以太网等多种接入方式,以满足应用需求,为轨道交通运行控制系统提供精确同步的时间服务。     

应用车辆牌照自动识别系统自动检测行程延误的算法研究

为实现行程延误信息的实时自动采集,并提高信息采集的准确性,本文提出了应用车辆牌照自动识别系统实时自动采集行程延误的思想,并设计了面向路网的行程延误算法．该方法可以为交通管理与控制、路线诱导及交通规划等方面的研究提供重要的基础数据,具有广泛的应用前景．