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Velocity and location information from onboard vibration measurements of rail vehicles

机译:轨道车辆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:运动中的车辆暴露于机械振动,由各种来源产生,例如发动机,透射,轮子,轨道等。车辆中的振动通常是不希望的,但这些振动包含导航和车辆信息。除了用于计算惯性测量的空间车辆运动的最先进的技术之外,还可以明确地使用适当的方法来明确使用振动测量。这首次研究侧重于柴油机乘客列车中的振动,由垂直,翻译加速度传感器测量。在分析中识别出火车的主要振动源,并以速度依赖或独立性为特征。我们提出了将这些振动分离和过滤与车辆的简单模型分开和过滤这些振动。本文介绍了在运动期间推断车轮诊断监测的车速和车轮直径测量的新方法。此外,轨道车辆定位是基于由一个加速度计和相关技术测量的振动。我们展示了有前途的轨道选择性列车定位,通过定位依赖振动,讨论了多传感器定位方法的改进和集成以及基于振动的导航的优点和缺点。

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