UM71站内电码化设备故障案例(一)

案例1：某站接收器故障 1故障概况 京秦线采用UM71自动闭塞制式。2004年5月6日12：45～13：30，某站X行进站开放通过信号，进站信号机外方A1G突然出现红光带。     

大跨度单箱三室PC现浇连续梁施工

通过石家庄南环大桥A10～B0段35 m+45 m+35 m 3孔现浇连续箱梁施工,介绍大跨度单箱三室预应力钢筋混凝土现浇连续箱梁的支架设计、模板拼装、拱度预留、混凝土浇注及箱梁预应力施工工艺.     

预应力混凝土连续箱梁桥腹板主拉应力的计算与分析

以湖北随岳中汉江特大桥南岸堤桥为工程背景.采用有限元软件对该桥控制截面施工阶段以及运营阶段的箱梁腹板进行主拉应力的计算和分析.结果表明,主拉应力值都在规范允许值之内,为该桥在施工及运营过程中腹板是否产生斜裂缝以及结构使用的安全可靠性提供了理论依据.     

关于各国转向机构防伤害法规的对比研究

本文主要讲述了全球主要市场关于转向机构在碰撞过程中防止驾驶员伤害(以下简称转向防伤害)的法规要求,包括中国、欧洲、美国、巴西、中东、韩国等市场。俄罗斯、日本和澳大利亚由于直接采用ECE R12标准,所以这里不再单独研究。从本文中可以了解到不同市场转向防伤害法规的共同点及差异点,供产品研发、研制、验证及产品认证领域参考。     

基于PointNet++的船体分段合拢面智能识别方法

船体分段合拢面的精度检测是分段总组合拢过程中的重要环节。在船体分段合拢面的精度检测方面,三维扫描仪相对全站仪有着巨大优势。然而,三维扫描仪在扫描过程中会记录很多与合拢面无关的点,因此本文对三维扫描仪扫描出的点云数据,进行合拢面的智能识别。通过采用深度学习理论对PointNet++点云网络进行适合本文的改进,使用CAD模型导出的点云数据构建有标注的船体分段点云数据集,进而使用Adam优化算法对网络进行优化训练。最终网络模型对分段合拢面的识别在验证集上获得精确率73%,召回率90%的效果。     

基于双树复小波包和PNN的柴油机故障诊断研究

针对传统小波变换在故障特征提取中的不足,提出一种基于双树复小波包和概率神经网络(PNN)的故障诊断方法。首先通过双树复小波包变换将各个工况的柴油机声信号分解得到不同频带的分量,选取各频带分量的能量作为特征向量,再利用PNN对特征向量进行训练,最后通过测试样本得到柴油机典型故障诊断结果。实验表明,该方法可以对柴油机典型故障进行较为准确的诊断,相比传统小波包有着更高的故障诊断率。     

Analysis of the car body stability performance after coupler jack-knifing during braking

This paper aims to improve car body stability performance by optimising locomotive parameters when coupler jack-knifing occurs during braking. In order to prevent car body instability behaviour caused by coupler jack-knifing, a multi-locomotive simulation model and a series of field braking tests are developed to analyse the influence of the secondary suspension and the secondary lateral stopper on the car body stability performance during braking. According to simulation and test results, increasing secondary lateral stiffness contributes to limit car body yaw angle during braking. However, it seriously affects the dynamic performance of the locomotive. For the secondary lateral stopper, its lateral stiffness and free clearance have a significant influence on improving the car body stability capacity, and have less effect on the dynamic performance of the locomotive. An optimised measure was proposed and adopted on the test locomotive. For the optimised locomotive, the lateral stiffness of secondary lateral stopper is increased to 7875?kN/m, while its free clearance is decreased to 10?mm. The optimised locomotive has excellent dynamic and safety performance. Comparing with the original locomotive, the maximum car body yaw angle and coupler rotation angle of the optimised locomotive were reduced by 59.25% and 53.19%, respectively, according to the practical application. The maximum derailment coefficient was 0.32, and the maximum wheelset lateral force was 39.5?kN. Hence, reasonable parameters of secondary lateral stopper can improve the car body stability capacity and the running safety of the heavy haul locomotive.     

A vehicle stability control strategy with adaptive neural network sliding mode theory based on system uncertainty approximation

Modelling uncertainty, parameter variation and unknown external disturbance are the major concerns in the development of an advanced controller for vehicle stability at the limits of handling. Sliding mode control (SMC) method has proved to be robust against parameter variation and unknown external disturbance with satisfactory tracking performance. But modelling uncertainty, such as errors caused in model simplification, is inevitable in model-based controller design, resulting in lowered control quality. The adaptive radial basis function network (ARBFN) can effectively improve the control performance against large system uncertainty by learning to approximate arbitrary nonlinear functions and ensure the global asymptotic stability of the closed-loop system. In this paper, a novel vehicle dynamics stability control strategy is proposed using the adaptive radial basis function network sliding mode control (ARBFN-SMC) to learn system uncertainty and eliminate its adverse effects. This strategy adopts a hierarchical control structure which consists of reference model layer, yaw moment control layer, braking torque allocation layer and executive layer. Co-simulation using MATLAB/Simulink and AMESim is conducted on a verified 15-DOF nonlinear vehicle system model with the integrated-electro-hydraulic brake system (I-EHB) actuator in a Sine With Dwell manoeuvre. The simulation results show that ARBFN-SMC scheme exhibits superior stability and tracking performance in different running conditions compared with SMC scheme.     

增压中冷柴油机燃用F-T柴油的燃烧波动特性分析

为了分析柴油机燃用F-T柴油的燃烧波动特性,在增压中冷直喷柴油机上对燃用F-T柴油和0号柴油的中高转速和负荷工况进行了对比试验研究。研究表明:在同一工况下,与0号柴油相比,燃用F-T柴油的燃烧始点较早,燃烧压力峰值较低,压力波动幅值较小;对燃烧压力进行频谱分析可以看出,F-T柴油的燃烧压力波动一阶主频率小于0号柴油的主频率,两种燃料的一阶主频率均随转速的增加而增大,随着负荷的增加有降低的趋势,且负荷对F-T柴油的影响较0号柴油更加显著。从燃烧振动噪声源的角度考虑,燃用F-T柴油有利于降低柴油机的燃烧噪声和缸内燃烧时的爆发冲击载荷。     

对某运煤专线维修养护的探讨

针对某线的设备结构及运输特点和线路维修存在的问题,实施集中修和天窗修,实行养路维修机械化、养修分离,建立科学的检测体系,合理调整生产布局,对于提高线路设备质量具有现实意义。