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Determination of railway track longitudinal profile using measured inertial response of an in-service railway vehicle

机译:利用在役铁路车辆的惯性响应确定铁轨纵向轮廓

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摘要

The use of sensors fixed to in-service trains has the potential to provide real-time track condition monitoring to inform maintenance planning. An Irish Rail intercity train was instrumented for a period of 1 month so that a numerical method developed to find track longitudinal profile from measured vehicle inertial responses could be experimentally tested. A bogie-mounted accelerometer and gyrometer measured vertical acceleration and angular velocity as the train made regular service operations between Dublin and Belfast on the island of Ireland. Cross entropy optimisation is used to find a track longitudinal profile that generates a numerical inertial response that best fits the measured response. Tolerance limits are used to inject variance where required to ensure a good match between measured and modelled signals. A section of track with known track settlement history is selected as a case study. A level survey was undertaken during the measurement campaign to characterise the longitudinal profile through the test section. Bandpass filters are used to compare inferred profiles and the surveyed profile. Good agreement is found between the two profiles although improvements in accuracy and reproducibility are required before conformance with current standards is achieved.
机译:使用固定在役列车上的传感器有可能提供实时的轨道状况监视,以告知维护计划。对爱尔兰铁路城际列车进行了为期1个月的仪器测试,以便开发出一种数值方法,可以从测得的车辆惯性响应中找到轨道纵向轮廓,从而可以进行实验测试。当火车在爱尔兰岛的都柏林和贝尔法斯特之间进行常规服务时,安装在转向架上的加速计和陀螺仪测量垂直加速度和角速度。交叉熵优化用于查找轨道纵向轮廓,该轮廓生成最适合所测响应的数值惯性响应。公差极限用于在需要时注入方差,以确保测量信号和建模信号之间的良好匹配。选择具有已知轨道沉降历史的一段轨道作为案例研究。在测量活动期间进行了水平调查,以表征通过测试部分的纵向轮廓。带通滤波器用于比较推断的轮廓和测量的轮廓。虽然在达到当前标准之前需要提高准确性和可重复性,但是在两个配置文件之间可以找到很好的一致性。

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