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在对现有公交系统不足进行分析的基础上，为提高公交行业的服务水平和管理水平，提出了实施智能公共交通系统、优先发展公共交通战略的技术保障公交信息智能化管理系统，即建立一个低成本、高效益、科学管理、安全生产的现代化智能公交信息服务系统，并给出了系统的实施框架及关键理论和技术的解决方案。     

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采用故障树分析方法对指挥控制系统通信网络的故障传播情况做了详细分析，并对系统各部件的重要度进行了计算．在此基础上，结合指挥控制系统通信网络自身的特点，设计了一种在线监测方案—以Trap为向导的优先级轮询监测方案．最后，利用C++语言在校园网环境下对该监测方案进行了实现．测试结果表明，以Trap为向导的优先级轮询监测方案能够在一定程度上降低网络资源的利用率，提高网络性能．     

铝酸蓄电池常见故障分析及对策

极板硫化、自行放电和活性物质脱落是影响铅酸蓄电池寿命的主要原因。因此，有必要全面阐述该类蓄电池常见故障的现象，详细分析其产生故障的原因，并结合实际重点介绍其预防措施和处理方法。     

砼结构裂纹实时监测系统及算法研究

针对现有监测方法不能实时监测砼结构实际损伤的问题,设计了砼结构裂纹实时监测系统,研究了该系统的组成、工作原理和裂纹识别算法等,并进行了相关实验,能实时地监测砼结构的实际损伤情况,可广泛应用于桥梁、水坝和其它大型砼结构的损伤监测.     

基于BP神经网络和振动测量的轴承故障诊断

根据BP算法神经网络模型,通过对轴承振动测量的分析,得到故障诊断的方法。阐述BP神经网络应用于轴承故障的基本步骤,包括BP网络结构、状态编码、网络训练、模式识别以及诊断实例分析。指出了BP神经网络在轴承故障诊断中的应用中存在的问题和发展方向。     

浅析汽车电控发动机点火系统故障的诊断及排除

随着经济与科技的不断发展,目前我国人民生活水平已经普遍得到了提升。在此背景下,人们对出行的需求也在不断攀升,汽车的出现和发展无疑受到了人们的接受与欢迎,并成为了当今社会人们出行的主要交通工具。但是汽车内部的组成结构十分复杂,这其中发动机作为动力部件,则更为复杂。现如今汽车发动机基本上都采用了电子控制系统进行控制,其质量高低将决定汽车的性能和寿命。在驾驶员驾驶车辆的过程中,汽车发动机难免会遇到故障,尤其是电控发动机点火系统一旦出现问题,汽车则可能无法正常行驶。本文从汽车电控发动机技术的概念、汽车电控发动机点火系统的常见故障与原因分析以及汽车电控发动机点火系统故障的诊断和维修这几个方面展开探讨,并对汽车电控发动机点火系统故障的诊断及排除提出了个人的见解。     

汽车电气系统故障的诊断维修技术探讨

我国社会经济的飞速发展,大大提升了人们的生活水平,而汽车作为一种交通工具,也成为越来越多的家庭的交通出行工具,不过,汽车经过长时间的使用,其自身总会出现一些故障问题,尤其是电气系统,一旦电气系统产生故障,机械故障也会随之产生,因此,需要加强对汽车电气系统故障的重视,并且要结合实际情况,选择并使用科学合理的故障诊断维修技术,以便于能够快速找出汽车电气系统中存在的故障,以此提高诊断维修工作的质量与效率。     

基于信息神经网络的自行火炮发动机故障预测

在分析信息神经网络 (INN)的非线性拟合能力的基础上探讨用于自行火炮发动机运行中的故障预测方法 ,经过多种自行火炮的试验 ,证明试验结果满意。     

An overview: modern techniques for railway vehicle on-board health monitoring systems

Health monitoring systems with low-cost sensor networks and smart algorithms are always needed in both passenger trains and heavy haul trains due to the increasing need for reliability and safety in the railway industry. This paper focuses on an overview of existing approaches applied for railway vehicle on-board health monitoring systems. The approaches applied in the data measurement systems and the data analysis systems in railway on-board health monitoring systems are presented in this paper, including methodologies, theories and applications. The pros and cons of the various approaches are analysed to determine appropriate benchmarks for an effective and efficient railway vehicle on-board health monitoring system. According to this review, inertial sensors are the most popular due to their advantages of low cost, robustness and low power consumption. Linearisation methods are required for the model-based methods which would inevitably introduce error to the estimation results, and it is time-consuming to include all possible conditions in the pre-built database required for signal-based methods. Based on this review, future development trends in the design of new low-cost health monitoring systems for railway vehicles are discussed.     

A real-time posture monitoring method for rail vehicle bodies based on machine vision

Monitoring vehicle operation conditions has become significantly important in modern high-speed railway systems. However, the operational impact of monitoring the roll angle of vehicle bodies has principally been limited to tilting trains, while few studies have focused on monitoring the running posture of vehicle bodies during operation. We propose a real-time posture monitoring method to fulfil real-time monitoring requirements, by taking rail surfaces and centrelines as detection references. In realising the proposed method, we built a mathematical computational model based on space coordinate transformations to calculate attitude angles of vehicles in operation and vertical and lateral vibration displacements of single measuring points. Moreover, comparison and verification of reliability between system and field results were conducted. Results show that monitoring of the roll angles of car bodies obtained through the system exhibit variation trends similar to those converted from the dynamic deflection of bogie secondary air springs. The monitoring results of two identical conditions were basically the same, highlighting repeatability and good monitoring accuracy. Therefore, our monitoring results were reliable in reflecting posture changes in running railway vehicles.