Simulation of curving at low speed under high traction for passive steering hauling locomotives

The traction control in modern electric and diesel electric locomotives has allowed rail operators to utilise high traction adhesion levels without undue risk of damage from uncontrolled wheel spin. At the same time, some locomotive manufacturers have developed passive steering locomotive bogies to reduce wheel rail wear and further improve locomotive adhesion performance on curves. High locomotive traction loads in curving are known to cause the loss of steering performance in passive steering bogies. At present there are few publications on the curving performance of locomotive steering with linkage bogies. The most extreme traction curving cases of low speed and high adhesion for hauling locomotives have not been fully investigated, with effects of coupler forces and cant excess being generally ignored. This paper presents a simulation study for three axle bogie locomotives in pusher and pulling train positions on tight curves. The simulation study uses moderate and high traction adhesion levels of 16.6% and 37% for various rail friction conditions. Curving performance is assessed, showing forced steering bogies to have considerable advantages over self steering bogies. Likewise it is shown that self steering bogies are significantly better than yaw relaxation bogies at improving steering under traction. As the required traction adhesion approaches the rail friction coefficient, steering performance of all bogies degrades and yaw of the bogie frame relative to the track increases. Operation with excess cant and tensile coupler forces are both found to be detrimental to the wear performance of all locomotive bogies, increasing the bogie frame yaw angles. Bogie frame pitching is also found to have significant effect on steering, causing increased performance differences between bogie designs.     

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介绍广州地铁四号线直线电机车辆牵引系统的组成、控制原理与主要设备的技术参数,并分析了目前该系统运行中存在的问题。     

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结合军粮城牵引变电所等多所跳闸事件,从地铁或轻轨牵引直流供电系统设置的框架泄漏保护、DDL、双边联跳保护、排流柜等多种角度分析事件的起因,并提出了设计、运营维护改进和预防建议。     

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随着客流的不断增长,既有大连快轨3号线已不能满足运营的要求,需对信号系统进行扩能改造。经分析,通过减少现有所有的锁闭区段数量,允许司机在预告减速的信息码区段上追踪运行,对现有闭塞分区进行必要的调整等改造措施可使既有快轨3号线的追踪间隔由4 min减少到3 min。     

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在对200 km/h牵引变流器建立仿真模型的基础上,利用小波分析的手段提取故障特征,继而通过BP神经网络进行故障模式识别,得出变流器故障智能诊断系统。最后对网络测试能准确的做出故障诊断。