基于故障树的动车组常用制动失效风险分析及对策

分析CRH3型动车组制动系统的工作原理、结构、功能及工作流程,根据其关键功能,包括空电复合制动、网络和硬线冗余指令传递、直通式电空制动方式、电气指令和空气指令传输方式等的特点,对常用制动系统结构和功能进行分解,建立常用制动失效故障树,分析基本事件的结构重要度,得出牵引执行系统电机故障、牵引控制单元故障、网压过高是导致常用制动失效发生的最重要因素,提出针对各类基本原因事件的风险控制措施.     

七阶段法在地铁信号系统风险评估中的应用

以目标距离模式ATP系统项目为基础,阐述七阶段法的风险评估应用。结合故障树分析（FTA）和事件树分析（ETA）,对目标距离模式ATP系统中的车载ATP控制单元的某个危害进行了详细的分析。     

小波变换在管道泄漏点定位中的应用

当管道发生泄漏时，泄漏诱发的负压波传播到管道上下游监测点时会使该点压力信号幅值产生瞬态下降，利用小波变换模极大值检测压力信号的突变点，从而计算出管道泄漏诱发的负压波传播到上下游监测点的时间差。在MATLAB6．1软件环境下，以某次实验数据为例进行管道泄漏点定位研究。在计算过程中小波基函数选取为Haar小波，尺度水平为6，计算结果表明该方法可以计算出管道泄漏点处诱发的负压波传播到管道上游监测点的时间差，从而为准确定位泄漏点提供了基础。     

基于改进BP-GA方法的FPSO舷侧结构耐撞性能优化设计

基于遗传算法和ABAQUS参数化有限元仿真技术,对传统的BP-GA优化方法进行改进,并采用改进的BP-GA方法对浮式生产储油卸油装置(FPSO)舷侧结构的耐撞性能进行优化,以验证其可行性和准确性。结果表明,与传统的BP神经网络相比,经遗传算法优化的BP神经网络具有更高的预测精度和更强的泛化能力;改进的BP-GA优化方法可在结构减重的基础上进一步提高结构的耐撞性能,能较好地适用于复杂的FPSO舷侧结构耐撞性优化设计。采用的优化方法具有通用性,可为抗爆性能的优化设计提供参考。     

Highway voting system: Embracing a possible paradigm shift in traffic data acquisition

The integration of internet and mobile phones has opened the door to a new wave of utilizing private vehicles as probes not only for performance evaluation but for traffic control as well, gradually replacing the role of traffic surveillance systems as the dominant source of traffic data. To prepare for such a paradigm shift, one needs to overcome some key institutional barriers, in particular, the privacy issue. A Highway Voting System (HVS) is proposed to address this issue in which drivers provide link- and/or path-based vehicle data to the traffic management system in the form of “votes” in order to receive favorable service from traffic control. The proposed HVS offers a platform that links data from individual vehicles directly with traffic control. In the system, traffic control responds to voting vehicles in a way similar to the current system responding to prioritized vehicles and providing the requested services accordingly. We show in the paper that the proposed “voting” system can effectively resolve the privacy issue which often hampers traffic engineers from getting detailed data from drivers. Strategies to entice drivers into “voting” so as to increase the market penetration level under all traffic conditions are discussed. Though the focus of the paper is on addressing the institutional issues associated with data acquisition from individual vehicles, other research topics associated with the proposed system are identified. Two examples are given to demonstrate the impact of the proposed system on algorithm development and traffic control.     

基于模糊PID控制的ABS仿真研究

以车轮滑移率为控制对象,分析了模糊控制的理论基础,将传统的模糊控制与经典的PID控制相结合,提出了白适应模糊PID控制算法,并进行了仿真研究.     

三轴船舶电动摇摆模拟试验台研究

针对船舶摇摆模拟试验台系统在科学研究和船载仪器可靠性试验中的应用,设计了一种多功能三轴船舶电动摇摆试验台随动控制系统。首先对摇摆试验台进行控制建模,确定电流、速度、位置三闭环控制方案,然后采用常规PID算法设计三环控制器参数,对位置环用模糊自适应PID控制器进行优化设计。提出以变周期、变幅度和组合曲线给定的摇摆方法模拟风、浪、流干扰,对系统进行仿真研究。仿真试验结果表明,设计的系统具有响应迅速、模拟准确、可靠等特点,能够较好的模拟实际海况中船舶摇摆运动,为搭建实际试验平台奠定了基础。     

基于决策树的水火弯板焰道点判定模型研究

目前,船体外板的制造主要是通过水火弯板工艺实现,而焰道的生成作为水火弯板工艺过程中的核心而备受关注。但由于钢材变化复杂,影响因子众多,难以得到有效的焰道。通过建立决策树模型来对钢板材料上的点进行对焰道点和非焰道点归类判定,进而得出可用于生成焰道的焰道点。实验表明,该模型对待测点的归类正确率达87.6%,能够对焰道点进行有效的判定和归类。     

焊装车间机器人的节拍分析及优化设计

为了实现焊装车间降本增效的目标,对焊装车间自动生产线上机器人的生产节拍进行优化.通过分析机器人的工作时序逻辑,查找机器人不合理的工作时序,进而分析机器人的底层程序,修改程序上的问题,优化工作时序,消除机器人工作时序逻辑不合理产生的等待浪费,提升生产线的生产节拍,从而提高车间的生产效率,最终实现降本增效的目标.     

Large-scale evacuation network optimization: a bi-level control method with uncertain arterial demand

To improve the efficiency of large-scale evacuations, a network aggregation method and a bi-level optimization control method are proposed in this paper. The network aggregation method indicates the uncertain evacuation demand on the arterial sub-network and balances accuracy and efficiency by refining local road sub-networks. The bi-level optimization control method is developed to reconfigure the aggregated network from both supply and demand sides with contraflow and conflict elimination. The main purpose of this control method is to make the arterial sub-network to be served without congestion and interruption. Then, a corresponding bi-objective network flow model is presented in a static manner for an oversaturated network, and a Genetic Algorithm-based solution method is used to solve the evacuation problem. The numerical results from optimizing a city-scale evacuation network for a super typhoon justify the validity and usefulness of the network aggregation and optimization control methods.