广州地铁车辆关门障碍物检测故障及对策

针对广州地铁7号线车辆正线运营期间车门关门障碍物检测异常启动的故障,介绍车门关门防夹检测原理,深入分析故障原因并实施了相应的整改措施,有效地降低了车门故障率。     

考虑车轮谐波磨耗的动车组车轴疲劳寿命

以CRH380BL型高速动车组为研究对象,基于车轮谐波磨耗的实测结果,建立刚性轮轨、刚性轮柔性轨、柔性轮刚性轨以及柔性轮轨4种不同轮轨关系下的车辆-轨道耦合动力学模型,通过对比分析4种模型的轮轨振动特性,得到最能反映真实情况的轮轨耦合动力学模型;基于车轴受力分析,采用有限元软件ANSYS进行车轴静强度计算;采用多体动力学软件计算考虑车轮谐波磨耗的车轴载荷时间历程;根据疲劳累积损伤理论,采用FE-SAFE软件分析考虑车轮谐波磨耗的车轴疲劳寿命。结果表明:柔性轮轨关系更能反映轮轨的真实接触状态;车轴轮座内侧圆弧过渡处的应力最大,为114.4 MPa;考虑车轮谐波磨耗的车轴疲劳寿命约为19.2 a;车轮谐波磨耗导致轮轨振动加剧,对车轴疲劳寿命产生明显不利的影响。     

基于SAT的可逆线路检测集生成算法

可逆逻辑是量子计算的基本特征,也是日益突出的低能耗需求的一种解决方案。根据可逆电路的可控制性和可观测性,论文提出了一种基于逻辑可满足性的算法来自动产生单门失效错误的完备检测集。基于k-NOT门的可逆逻辑线路中的数据传输进行线性建模,用线性时态逻辑描述单门失效错误约束,运用SAT求解器寻求反例的方法自动生成可逆电路的错误检测集。实验结果显示,本方法能够有效的应用于不规则和复杂的基于k-NOT门的可逆逻辑线路,自动化程度高。     

Hysteresis in travel demand

This paper presents evidence that there is a hysteresis effect in the demand for transport usage with respect to price. Consequently the neoclassical concept of a smooth continuous demand curve is questioned. The author presents a hysteresis model whereby changes in demand and of demand are embraced in a single theory related to generalized cost.     

复杂运行环境下高速轮轨最佳撒砂增黏策略试验

在车轮-钢轨高速接触疲劳试验机上开展水、油和树叶等污染下的高速低黏着和增黏试验,通过最高速度200km·h-1的对滚试验,测得不同第三介质条件下的轮轨黏着-蠕滑特性曲线,研究增黏砂粒径和撒砂量对增黏效果的影响。结果表明:喷撒增黏砂可有效恢复各种污染下的轮轨黏着水平,使200km·h-1下轮轨黏着系数保持在0.18以上,低速下更高;增黏砂粒径在0.4~1.0mm范围内增大或撒砂量在40~100g·min-1范围内增加时,增黏效果均稍稍增强,综合考虑确定试验机的最佳撒砂量为40g·min-1、最佳粒径为0.85~1.0mm;考虑试验机与现场轮轨系统的尺寸差异、运行时复杂气流所致砂粒损失及适当冗余度等因素,建议现场最佳撒砂量为115~175g·min-1、最佳粒径为1.0~2.0mm;喷撒增黏砂会造成车轮接触表面的麻坑损伤,也是造成现场车轮踏面常见麻坑损伤的根本原因。     

公路客车空气悬架的发展趋势及在我国的应用前景分析

空气悬架系统作为高档公路大客车的关键部件，已经在国外高档客车上普及，商用车上使用的比例也在迅速提升，其独特的变刚度、低振动频率、抗道路凹凸冲击等诸多优越性越来越受人们重视。目前国内没有一家企业能设计出成熟的产品，加快空气悬架的设计研发，尤其是电子控制空气悬架（ECAS）的研发是大势所趋，谁先掌握了汽车空气悬架的开发技术，谁先开发出配置空气悬架的成熟车型，谁就掌握了今后若干年内商用车市场的先机和主动。     

基于人工神经网络的整流电路故障诊断

提出了一种基于人工神经网络进行整流电路故障诊断的方法.分析了变频器整流电路的故障模式,提出了根据直流母线电压频谱作为神经网络的输入进行故障定位的方法,并进行了仿真研究.     

Fault detection and isolation for a nonlinear railway vehicle suspension with a Hybrid Extended Kalman filter

Fault detection is considered to be one way to improve system reliability and dependability for railway vehicles. The secondary lateral and anti-yaw dampers are the most critical parts in railway suspension systems. So far, the dampers have been modelled as linear components in the fault detection and isolation observer design. In this work, a Hybrid Extended Kalman filter is used to capture the nonlinear characteristics of the dampers. In order to detect and isolate faults, a nonlinear residual generator is developed, which can distinguish clearly between different types of faults. A lateral half train model serves as an example for the proposed technique. The results show that failures in the nonlinear suspension system can be detected and isolated accurately.     

A real-time impact detection and diagnosis system of catenary using measured strains by fibre Bragg grating sensors

This paper describes an impact detection system using strain signals based on fibre optic sensors(FBG) for the real-time monitoring of the catenary system. The proposed detection system consists of three subsystems: a measuring system, a data processing and analysis system, and a status display and data access system. Because the strain signals obey the normal distribution, to monitor the catenary system in real time, a novel method that combines mobile standard deviation with the mobile Pauta criterion is proposed to distinguish real impact from the strain signal background. The use of this adaptive judging method reduces the misjudgment rate of impacts and improves the impact recognition accuracy. These impacts can be identified by the data analysis system, which provides impact location and their causes using the features of the catenary system. This method can simplify the detection system compared with the traditional location method. An application to a commercial metro line system indicated that the impacts on the catenary system were main caused by overlaps, expansion joints or steady arms, and were verified by correspondence with the floor plan of the catenary and manual inspection results. These results verified the reliability and effectiveness of the proposed impact detection system.