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基于高铁轨道不平顺的车轮不圆顺识别模型

王平 汪鑫 王源 张荣鹤

王平, 汪鑫, 王源, 张荣鹤. 基于高铁轨道不平顺的车轮不圆顺识别模型[J]. 西南交通大学学报, 2020, 55(4): 681-687. doi: 10.3969/j.issn.0258-2724.20180283
引用本文: 王平, 汪鑫, 王源, 张荣鹤. 基于高铁轨道不平顺的车轮不圆顺识别模型[J]. 西南交通大学学报, 2020, 55(4): 681-687. doi: 10.3969/j.issn.0258-2724.20180283
WANG Ping, WANG Xin, WANG Yuan, ZHANG Ronghe. Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 681-687. doi: 10.3969/j.issn.0258-2724.20180283
Citation: WANG Ping, WANG Xin, WANG Yuan, ZHANG Ronghe. Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways[J]. Journal of Southwest Jiaotong University, 2020, 55(4): 681-687. doi: 10.3969/j.issn.0258-2724.20180283

基于高铁轨道不平顺的车轮不圆顺识别模型

doi: 10.3969/j.issn.0258-2724.20180283
基金项目: 国家杰出青年科学基金(51425804);国家自然基金(51778542)
详细信息
    作者简介:

    王平(1969—),男,教授,博士,研究方向为轨道动力学及轨道平顺性,E-mail:wping@home.swjtu.edu.cn

  • 中图分类号: U213.2

Polygonal Wheel Detection Model Based on Track Irregularity of High-Speed Railways

  • 摘要: 为获取高速运行车辆的车轮不圆顺幅值,并进一步研究轨道谱,建立一种基于轨道不平顺的车轮不圆顺幅值快速测量模型. 首先分析了车轮不圆顺在轨道不平顺检测数据中的分布规律,提出车轮不圆顺的密集采样方法,进而建立基于稀疏轨道不平顺数据的车轮不圆顺动态识别模型. 通过数值仿真研究发现:车轮不圆顺对基于惯性基准法测得的离散轨道不平顺数据的幅值影响较小,对频域(轨道谱)影响较大;车轮不圆顺会干扰波长小于和等于轮长的轨道不平顺检测数据,且对前者影响更大;车轮不圆顺对波长大于轮长的轨道不平顺数据也有影响,最大影响波长仅与车轮周长和轨道不平顺的采样间距有关;识别模型能有效地从轨道不平顺检测数据中提取车轮不圆顺,误差可控制在0.02 mm以内.

     

  • 图 1  车轮不圆顺的坐标变换

    Figure 1.  Coordinate transformation of polygonal wheels

    图 2  测点个数与轮长关系

    Figure 2.  Relationship between number of measuring points and wheel perimeter

    图 3  FIR 滤波器幅频特性曲线

    Figure 3.  Amplitude-frequency characteristic of FIR filter

    图 4  轨道不平顺及车轮不圆顺

    Figure 4.  Track irregularity and polygonal wheel amplitude

    图 5  车轮不圆顺对轨道不平顺检测数据的影响

    Figure 5.  Influence of polygonal wheels on track irregularity

    图 6  车轮不圆顺幅值识别效果

    Figure 6.  Recognition effect of polygonal wheel amplitude

    图 7  假定不同轮长下识别车轮不圆顺

    Figure 7.  Recognition effect of polygonal wheel amplitude based on different wheel perimeter

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出版历程
  • 收稿日期:  2018-04-24
  • 修回日期:  2018-05-30
  • 网络出版日期:  2018-10-31
  • 刊出日期:  2020-08-01

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