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Security Region Estimation of the Peak of Track Irregularity Based on Dangerous Points Distribution Ratio and SVM

机译:基于危险点分配比和支持向量机的轨道不平顺峰安全区域估计

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The security regions of track irregularities' peak amplitudes for highspeed railways are estimated by the simulation data and based on the theory of data classification, and the security regions boundaries with different speeds are solved, and this method can provide reference for the management and developing standards of track geometry on high-speed railways. First, by establishing a high-speed passenger vehicle dynamics simulation model using SIMPACK, inputs including vertical profile irregularities and alignment irregularities and outputs including three safety indicators data (derailment coefficient, wheel load reduction rate and wheel-rail lateral force) were collected under two different level track regularity states, and the irregularity data were marked as 'safe' or 'dangerous' according to certain safety evaluation criteria. And then, considering the difficulty of directly using SVM for irregularity data classification, a new classification method based on dangerous points distribution ratio combined with SVM was proposed which can reduce the difficulty and improve the efficiency greatly. At last, the test results and the comparisons of the domestic and international management standards of track geometry indicated that the proposed approach is effective and practicable.
机译:利用仿真数据并基于数据分类理论,估算了高速铁路轨道不平顺峰值振幅的安全区域,解决了不同速度下的安全区域边界问题,该方法可为管理和制定标准提供参考。高速铁路上的轨道几何形状。首先,通过使用SIMPACK建立高速客车动力学仿真模型,在两个条件下收集了包括垂直轮廓不规则和对齐不规则的输入以及包括三个安全指标数据(失效系数,车轮负荷降低率和轮轨横向力)的输出。不同级别的轨道规则状态,并且根据某些安全评估标准将不规则数据标记为“安全”或“危险”。然后,考虑到直接使用支持向量机进行不规则数据分类的困难,提出了一种基于危险点分配比结合支持向量机的新分类方法,可以大大降低难度,提高效率。最后,通过测试结果和国内外轨道几何管理标准的比较,表明该方法是有效可行的。

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