【作者】 杜林森；

【导师】 戴焕云；

【作者基本信息】 西南交通大学 ， 载运工具运用工程， 2013， 硕士

【摘要】 当今随着中国轨道车辆的发展,轨道车辆成为人们日常出行必不可缺的交通工具。人们对轨道车辆的依赖,使着人们对轨道车辆的运行安全性提出了更高的要求。轨道车辆传动系统的机械故障便成了我们研究的话题,轴箱、齿轮箱和电机是轨道车辆传动系统中有可能会引起故障的关键部件,对轴箱、齿轮箱和电机能够有效地进行故障监测和健康诊断有着实际的意义。本文通过对轨道冲击、车轮不圆、轴箱轴承故障、齿轮箱故障、电机故障、联轴节故障及关键部件的固有模态频率分别进行诊断分析,建立强大而丰富的特征频率故障数据库,给出轨道车辆健康诊断系统的概念,分析振动传递的相关路径。故障分析方法有很多种,而本文主要采用一种新的非线性非平稳信号分析方法——Hilbert-Huang变换。在传统傅立叶变换的基础上,本文首先主要研究了特征故障频率在轴箱、齿轮箱、电机及构架上的表现特征,发现轴箱、齿轮箱和电机的故障特征频率一般在构架上都有比较明显的表现；通过Hilbert-Huang变换更加明确地验证了在传统傅立叶变换方法中说明的现象,而且能够准确明显地提取重要的故障特征频率。目前,对于轨道车辆整个传动系统进行系统地故障诊断的工作还是比较少的,对于轨道车辆的故障判断与识别没有一个统一的标准。当今高速铁路快速发展,轨道车辆随时都有可能出现故障,而面对突如其来的故障,工作人员无法找到故障类型和部位,本文将提供一个相对比较完整的故障特征数据库,在今后的故障诊断中,能够为工作人员进行故障分析时提供一点小小的帮助。对于本论文来说,如果它能够很好地对传动系统机械故障诊断做一个比较全面和系统的分析,那将是轨道车辆故障诊断方面崭新的一页。更多还原

【Abstract】 Nowadays with the development of China’railway vehicles, rail vehicles become the essential transportation tool of people daily travel. Because people rely on railway vehicles, so the safety of the running railway vehicles is put forward higher request. The mechanical fault of Railway vehicle transmission system becomes our research topic. Axle box, gearbox and motor may be likely to cause failure as the key parts of drive system for the railway vehicles, it is practical significance that axle box, gearbox and motor can be fault monitoring and health diagnosis effectively. This paper analysis the rail impact, not round wheel, axle box bearing failure, failure of gear box, motor, coupling fault diagnose and inherent modal frequencies of the key components, and establish a strong and rich characteristic frequency fault database, the concept of health diagnosis system for rail vehicle is given in this paper, analysis the vibration transfer path. There are many kinds of failure analysis method, and this paper mainly adopts a new method of nonlinear and non-stationary signal analysis, it is Hilbert Huang transform. On the basis of the traditional Fourier transform, this paper mainly studies that the characteristic fault frequency is performance characteristics on the axle box, gearbox and motor, and find that the fault characteristic frequency of axle box, gear box and motor generally has obvious performance on the bogie structure. It is clearly true that the description of phenomenon in the traditional Fourier transform method can be verified, but also the important fault characteristic frequency can be accurately extracted by the Hilbert Huang transform.At present, the fault diagnosis work for the whole transmission system of railway vehicles is a few. The fault diagnosis and recognition for railway vehicle does not have a unified standard. In today’s rapid development of high-speed railway, railway vehicles are likely to fail at any time, and in the face of sudden failure, workers can’t find fault type and area, this paper will provide a relatively complete database, hoping that the database can provide a little help to workers when they do the fault analysis and diagnosis in the future. For this paper, if it can do more comprehensive and systematic analysis for the fault diagnosis of the mechanical transmission system, it will be a new page about the fault diagnosis of railway vehicle.更多还原