Limit braking of a high-performance motorcycle

A mathematical-model-based study of the limit braking of a high-performance motorcycle and rider is described. Front and rear brakes are operable independently. A dry road and high friction are presumed, such that full braking of the front wheel would lead to an overturn or ‘stoppie’ in colloquial parlance. Effective braking needs to maintain some loading on the rear wheel. A planar but otherwise detailed system model is set up and braking strategies for front and rear are devised. Parameters of the braking control schemes are derived with the help of an optimisation process, minimising the final speed in braking from high speed over a fixed time interval. Simulation results are examined critically and the strategy is developed until efficient use of the friction available is made. The nature of optimal braking events is demonstrated. The influences of slipper-clutch torque setting and the rear-tyre target load chosen are shown.     

氮氧传感器安装位置试验分析

为了分析氮氧传感器安装于消声器载体的不同位置对氮氧测量值的影响,分别将氮氧传感器安装于消声器上选择的不同位置上,当发动机运行在相同的工况下时,通过CANalyzer记录氮氧传感器测量数据,并对这些数据进行对比分析,从而选择最佳的传感器安装位置。     

基于小波变换的传感器故障检测技术研究

介绍了小波变换的基本理论及小波技术用于传感器故障检测的基本原理，给出了传感器故障检测方法，仿真实例证明了这一技术的有效性。     

双块式无砟轨道轨枕的优化设计研究

针对目前我国双块式无砟轨道轨枕在设计、生产、运输、铺设等过程中存在的一些问题进行探讨和分析，并在此基础上对双块式轨枕进行优化设计，以供我国双块式轨枕的设计作参考。     

RBF神经网络在传感器故障诊断中的应用研究

提出一种基于RBF神经网络的传感器在线故障诊断方法,用某气囊隔振系统隔振装置中大量的传感器数据进行了仿真实验,验证了方法的可行性.通过对每个传感器建立单独的神经网络预测模型,实现多传感器的故障诊断.     

地铁车辆牵引拉杆装置稳定性问题研究

受压牵引拉杆在极限承载下因忽然弯曲导致结构失稳破坏,从而影响转向架系统的运行安全性。文章从理论与工程相结合的角度剖析了杆件结构失稳的力学原理,提出了改善杆件结构稳定性的基本思路和可行措施,并在此基础上,对某型牵引拉杆装置进行优化设计。分析与实验表明,在工程可能的极限载荷下,牵引拉杆装置可有效确保稳定性,并利用有限元技术成功预测出牵引拉杆装置的失稳临界载荷。这为设计分析类似牵引拉杆装置提供了一种的思路。     

滑坡监测无线传感器网络基于事件的信道分配方案

在高速铁路沿线的山体斜坡上部署无线传感器网络,用于监测山体斜坡变化情况。综合考虑传感器节点能量有限性和对采集信息的实时性需求,提出一个基于事件的信道分配方案用于滑坡监测信息的传输。以是否有列车经过山体斜坡区域作为事件,当无列车经过时,为节点分配活跃周期和睡眠周期,采用TDMA的方式唤醒节点并分配一个可用信道进行数据传输,从而在保证数据传输的前提下节省节点能量,延长网络寿命;当有列车即将经过时,节点完全进入活跃周期,采用多个信道并行传输的方式传输数据,减少传输过程中由于信息碰撞造成的信息丢失和重传,从而降低传输时延,提高信息传输的实时性。最后,通过仿真实验分析系统性能,证明所提方案的有效性。     

Evaluation of detection sensitivity and count performance of advanced vehicle detection technologies at a signalized intersection

This article evaluates the stop-bar detection and count performance of three advanced vehicle detection sensors under various environmental conditions at a signalized intersection. Continuing advancements to vehicle detection technologies and improvements to their detection capabilities to overcome issues from impacting conditions necessitates testing the performance of new and upgraded sensor products to evaluate their performance and identify the most suitable products for various climates and weather conditions. The three evaluated sensors were Autoscope Encore video, Iteris Vantage Edge 2 video, and Wavetronix SmartSensor Matrix microwave sensors. The three sensors performed with high detection sensitivity during ideal environmental conditions with up to 99.9% detection accuracy levels and are suitable for traffic monitoring centers that rely on remote access to the monitored sites and the collected data. However, they were affected by some extreme adverse weather conditions, mainly daytime and nighttime snow, daytime fog, dawn lighting, and strong winds (for high mounted devices). The selection of a sensor product will depend on the type of application and the priority given to the type of traffic data being collected. Overall, the Iteris video sensor performed with the highest detection sensitivity levels, with the Wavetronix Matrix microwave sensor performing similarly under most conditions (14 of 19 evaluated conditions). Autoscope video provided the highest count accuracies and also provides a much broader data collection capability. The results of this study will help transportation agencies in selecting suitable vehicle detection sensor technologies for future installations within their jurisdiction and improved data collection.     

Fast direction of arrival algorithm based on vector-sensor arrays using wideband sources

An acoustic vector sensor （AVS） can capture more information than a conventional acoustic pressure sensor （APS）. As a result, more output channels are required when multiple AVS are formed into arrays, making processing the data stream computationally intense. This paper proposes a new algorithm based on the propagator method for wideband coherent sources that eliminates eigen-decomposition in order to reduce the computational burden. Data from simulations and lake trials showed that the new algorithm is valid： it resolves coherent sources, breaks left/right ambiguity, and allows inter element spacing to exceed a half-wavelength.     

从大客流运营角度谈地铁车站的建筑布置优化设计

从地铁车站的设备和管理用房布置原则、影响乘客行进的站内设施布置要点以及换乘车站的换乘设施设置等方面,对地铁车站的建筑布置进行了探讨,力求使地铁车站的建筑布置真正体现大客流交通建筑的特征。即:设备区布置紧凑、方便管理,公共区保证乘降安全、舒适,客流疏导通畅、迅速。