高速公路资产现代化管理技术的研究

伴随着经济的高速发展,中国高速公路经历了惊人的增长速度。高速公路已经成为支持国家经济发展与社会进步的重要基础设施。为了保持高速公路的服务水平、减少高速公路资产损失,延长高速公路使用寿命,需要采用先进的技术对庞大的高速公路资产进行科学管理。本文结合高速公路养护管理状况,讨论了高速公路资产监测与管理的科学方法和关键技术,期望通过新技术的应用,加速我国高速公路资产管理现代化、规范化和科学化建设。     

基于蒙特卡罗数值模拟的大跨桥梁状态评估

为了定量地研究大跨桥梁在多种随机因素下的可靠度,采用蒙特卡罗数值模拟方法,对润扬长江公路大桥(中国跨度最大的悬索桥)在温度、风、车辆荷载、车辆冲击等随机变量作用下的结构可靠度进行计算。通过对大桥在正常运营和损伤状态下的可靠度分析,获得了大桥主缆应力、吊索应力、桥塔位移以及钢箱梁线形等重要指标的可靠度和累积分布函数,其分析结果形象直观,提高了评估的效率,使维护决策的制定更加客观准确。     

基于RBF网络的船舶机械状态监测与评估研究

在分析传统单一阈值监测法在船舶机械等大型机械设备状态监测领域存在不足的基础上,提出了基于RBF网络的动态阈值监测模型,并以该模型为基础,设计了面向船舶机械的状态评估流程,最后以X型舰艇主柴油机为例,对监测模型和评估流程进行了验证。     

低压多相永磁推进系统测量系统的设计与实现

本文分析了低压多相永磁推进系统的特点,讨论了测量系统的设计流程,采用自顶向下、模块化设计方法对低压多相永磁推进系统测量系统进行了方案设计;通过应用系统误差分配与综合理论结合监测点的选取与分布,完成了对传感器和数采设备的选型及综合变换仪等设备的具体技术实现;在系统搭建完毕后,对系统进行了计量。试验结果表明,此测量系统方案可行,实施有效,可靠性高,满足技术要求,具有一定的先进性。     

An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system

A model-based condition monitoring strategy for the railway vehicle suspension is proposed in this paper. This approach is based on recursive least square (RLS) algorithm focusing on the deterministic ‘input–output’ model. RLS has Kalman filtering feature and is able to identify the unknown parameters from a noisy dynamic system by memorising the correlation properties of variables. The identification of suspension parameter is achieved by machine learning of the relationship between excitation and response in a vehicle dynamic system. A fault detection method for the vertical primary suspension is illustrated as an instance of this condition monitoring scheme. Simulation results from the rail vehicle dynamics software ‘ADTreS’ are utilised as ‘virtual measurements’ considering a trailer car of Italian ETR500 high-speed train. The field test data from an E464 locomotive are also employed to validate the feasibility of this strategy for the real application. Results of the parameter identification performed indicate that estimated suspension parameters are consistent or approximate with the reference values. These results provide the supporting evidence that this fault diagnosis technique is capable of paving the way for the future vehicle condition monitoring system.