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Velocity and location information from onboard vibration measurements of rail vehicles

机译:来自轨道车辆的车载振动测量的速度和位置信息

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Vehicles in motion are exposed to mechanical vibrations, resulting from various sources, such as the engine, transmission, wheels, the track and many more. Vibrations in vehicles are often undesired, but these vibrations contain navigation and vehicle information. In addition to state-of-the-art techniques for the computation of spatial vehicle movements from inertial measurements, the vibration measurements can also be used explicitly for navigation with appropriate methodologies. This first study focuses on vibrations in a diesel engined passenger train, measured by a vertical, translative acceleration sensor. The major vibration sources of a train in motion are identified in an analysis and characterized by speed dependency or independency. We present procedures to separate and filter these vibrations in combination with a simple model of the vehicle. This paper presents new methods to infer vehicle speed and the wheel diameter measurements for a wheel diagnostic monitoring during motion. Furthermore a rail vehicle localization is achieved based exclusively on vibrations measured by one accelerometer and a correlation technique. We show promising track-selective train localization results by the location dependent vibrations, discuss improvements and an integration in a multi sensor localization approach as well as the advantages and drawbacks of vibration based navigation.
机译:行驶中的车辆会受到来自各种来源的机械振动的影响,例如发动机,变速箱,车轮,履带等等。车辆中的振动通常是不希望的,但是这些振动包含导航和车辆信息。除了用于根据惯性测量来计算空间车辆运动的最新技术外,振动测量还可以通过适当的方法显式用于导航。这项首次研究的重点是柴油发动机客运列车的振动,该振动由垂直的平移加速度传感器测量。在分析中识别出行驶中的火车的主要振动源,并以速度相关性或独立性为特征。我们结合车辆的简单模型提出了分离和过滤这些振动的程序。本文提出了推断车辆速度和车轮直径测量值的新方法,用于在运动过程中进行车轮诊断监测。此外,仅基于由一个加速度计测量的振动和相关技术来实现轨道车辆的定位。我们通过与位置有关的振动显示出有希望的选轨列车定位结果,讨论多传感器定位方法中的改进和集成,以及基于振动的导航的优缺点。

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