基于极值分布的道岔轨面长期状态监测
Monitoring of Railpad Long-term Condition in Turnouts Using Extreme Value Distributions
摘要：
钢轨垫板是铁路基础设施中的关键元件，在列车-轨道动力学中起着至关重要的作用。铁路轨道上存在磨损或有缺陷的钢轨垫板会导致较大的轮轨相互作用力，并导致轨道部件的高劣化率。尽管铁路板很重要，但轨道基础设施管理人员并没有使用任何检查工具来长期监控在役铁路板。本文基于轨旁测量系统采集的列车振动数据，开发了一种新型的数据驱动的轨道板长期性能监测工具。该监测工具包括一个方法，用于轨道共振频率估计，温度-频率模型，用于描述相对于环境温度的铁路板的行为，和广义似然比测试的基础上的广义极值分布检测变化的铁路板状态随时间的推移。为了评估所提出的监测系统的性能，在18个月的时间内，沿铁路道岔的四个不同位置的铁轨垫板的状态进行监测。结果表明，监测系统可以成功地检测在所考虑的时间内的铁轨垫板属性的变化。
英文摘要：
The railpad is a key element in railway infrastructures that plays an essential role in the train-track dynamics. Presence of worn or defective railpads along railway track may lead to large wheel/rail interaction forces, and a high rate of deterioration for track components. Despite the importance of railpad, the track infrastructure managers use no inspection tool for monitoring in-service railpads over time. In this paper, a novel data-driven monitoring tool for long-term performance analysis of in-service railpads is developed based on train-induced vibration data collected by a track-side measurement system. The monitoring tool consists of a method for track resonance frequencies estimation, a temperature-frequency model for describing railpad behavior with respect to ambient temperature, and a generalized likelihood ratio test based on the generalized extreme value distribution for detecting changes in the railpad status over time. To evaluate the performance of the proposed monitoring system, the status of railpads at four different locations along a railway turnout is monitored over a period of 18 months. It is shown that the monitoring system can successfully detect changes in railpad properties over the considered period.
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