首页> 外文OA文献 >RAMS analysis of GNSS based localisation system for the train control application
【2h】

RAMS analysis of GNSS based localisation system for the train control application

机译:基于GNSS的列车控制应用定位系统的RAMS分析。

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Global Navigation Satellite Systems (GNSS) is usually used in non-safety-related applications for various transportation modes. In order to employ GNSS (Global Navigation Satellite Systems) for train control application, numerous projects study if performance of GNSS can satisfy the railway safety requirements. In the railway context, multiple obstacles in local environments can cause different signal perturbations that lead to negative consequences on the position accuracy. Reinforcing the position quality for safety-related applications is necessary. In this context, the European Project - GaloROI is on going. Its working principle is based on the combination of data from GNSS receiver and an Eddy Current Sensor (ECS). According to the development process of GaLoROI system, the dependability and safety analysis is an essential mission in order to prove if it satisfy the safety railway standards. In this paper, we present a procedure for predictive RAMS analysis of a localisation unit based on the combination of GNSS & ECS for the application ”control the braking loop”. Besides capturing multiple local impacts on satellite signal quality, this approach allows us to analyse complex behaviours of the sensor fusion component and also to take into account the reliability parameters of hardware components.
机译:全球导航卫星系统(GNSS)通常用于各种运输方式的非安全相关应用中。为了将GNSS(全球导航卫星系统)用于火车控制应用,许多项目都在研究GNSS的性能是否可以满足铁路安全要求。在铁路环境中,本地环境中的多个障碍会导致不同的信号扰动,从而对位置精度产生负面影响。必须加强安全相关应用程序的位置质量。在这种情况下,欧洲项目-GaloROI正在进行中。它的工作原理基于GNSS接收器和涡流传感器(ECS)的数据组合。根据GaLoROI系统的开发过程,进行可靠性和安全性分析是证明其是否满足安全铁路标准的基本任务。在本文中,我们针对“控制制动回路”的应用,提出了一种基于GNSS和ECS结合的定位单元的预测RAMS分析的程序。除了捕获对卫星信号质量的多个局部影响之外,这种方法还使我们能够分析传感器融合组件的复杂行为,并考虑到硬件组件的可靠性参数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号