Wheel Out-of-Roundness Identification Approach Based on Axlebox High-Frequency Vibrations
-
摘要:
为实现对高速列车车轮高阶不圆的实时检测，研究了轴箱高频振动与车轮不圆的频谱特征和映射关系，采用频域积分方法对车轮不圆的幅值和阶次进行辨识. 首先，通过静态测试和台架试验，研究我国高速铁路车轮多边形、钢轨波磨和轨道模态的表现形式；其次，通过高速列车长期服役性能跟踪试验，掌握转向架轴箱振动的时频特征和演化规律；最后，以现场出现车轮20阶多边形的车辆为研究对象，提出基于频域积分的车轮不圆阶次和幅值辨识方法. 研究结果表明：CRTS-Ⅱ型轨道板钢轨三阶弯曲频率为592 Hz；列车以300 km/h运行时，20阶车轮多边形和136 mm波长钢轨波磨的响应频率分别为580 Hz和613 Hz；钢轨模态、车轮多边形以及钢轨波磨的振动主频较为集中，轴箱高频振动幅值随车速和镟后里程的增大而增大；采用加速度频域积分方法，从理论上可实现对车轮不圆幅值和阶次的辨识；基于线路实测轴箱加速度的20阶车轮多边形辨识结果与静态测试值相对误差不超过5%.
Abstract:In order to realise the real-time detection of wheel out-of-roundness (OOR) for high-speed trains, the spectral characteristics and mapping relationship between the axlebox high-frequency vibration and the wheel OOR are studied. The amplitude and order of the wheel OOR are identified using the frequency-domain integration method. Firstly, manifestations of the wheel polygonisation, rail corrugation and track modes of China high-speed railways are investigated through static measurements and laboratory experiments. Secondly, the time-frequency characteristics and evolution principle of the bogie axlebox vibrations are obtained through the long-term operation performance tracking test of a high-speed train. Finally, taking the 20th order wheel polygonisation as the research object, an identification approach of the wheel OOR order and amplitude is proposed based on the frequency-domain integration method. The results show that the third-order bending modal frequency of the China railway track system Ⅱ (CRTS-Ⅱ) track slab is 592 Hz. When the train is running at a speed of 300 km/h, the response frequencies due to the 20th-order wheel polygonisation and the rail corrugation with a wavelength of 136 mm are 580 and 613 Hz, respectively. The dominant frequencies of rail mode, wheel polygonisation and rail corrugation are relatively concentrated. The amplitude of high-frequency vibration of axlebox increases with the increase of vehicle speed and mileage after re-profiling. Theoretically, the amplitude and order of the wheel OOR can be identified by the integration of accelerations in the frequency domain. The relative error between the identified 20th-order wheel OOR results based on the field-tested axlebox acceleration and the static measured values is less than 5%.
-
图 1 高速列车典型车轮多边形磨耗特征
Figure 1. Wear characteristics of typical wheel polygonisation for high speed trains
图 2 高速铁路典型钢轨波磨特征
Figure 2. Wear characteristics of typical rail corrugation for high-speed lines
图 5 车轮多边形激励下高速列车轴箱垂向加速度
Figure 5. Vertical accelerations of axlebox for high-speed train under wheel polygonization excitations
图 6 车轮多边形激励下高速列车轴箱垂向振动频谱图
Figure 6. Frequency spectrum of axlebox for high-speed train under wheel polygonization excitations
图 7 不同走行里程下高速列车轴箱垂向振动频率演化规律
Figure 7. Evolution of vertical vibration frequency of axlebox for high-speed train at different running mileages
图 9 基于仿真信号的车轮不圆辨识结果
Figure 9. Results of wheel OOR identification based on simulated signals
图 11 基于实测轴箱振动加速度的车轮不圆辨识结果
Figure 11. Results of wheel OOR identification based on measured axlebox accelerations
图 12 车轮粗糙度与阶次的实测值和辨识值对比
Figure 12. Comparison of measured and identified wheel roughness and OOR order
表 1 仿真信号参数取值
Table 1. Parameter values of simulation signals
类型 k/Hz 幅值/mm 相位角/
radv/（km·h−1） R/mm 偏心 28.96 0.10 0 300 458 激扰类型
多边形579.17 0.02 0 P2 力 40.00 0.05 0 
下载: 导出CSV
-
[1] TAO G Q, WEN Z F, JIN X S, et al. Polygonisation of railway wheels: a critical review[J]. Railway Engineering Science, 2020, 28(4): 317-345. doi: 10.1007/s40534-020-00222-x [2] 金学松,吴越,梁树林,等. 高速列车车轮多边形磨耗、机理、影响和对策分析[J]. 机械工程学报,2020,56(16): 118-136. doi: 10.3901/JME.2020.16.118JIN Xuesong, WU Yue, LIANG Shulin, et al. Characteristics, mechanism, influences and countermeasures of polygonal wear of high-speed train wheels[J]. Journal of Mechanical Engineering, 2020, 56(16): 118-136. doi: 10.3901/JME.2020.16.118 [3] DAI H Y, LI D, WANG J, et al. Study on the mechanism of high order out of round roughness of high speed railway train’s wheel[C]//Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail/Wheel System. Delft: CRC, 2018: 189-195. [4] WU X W, RAKHEJA S, CAI W B, et al. A study of formation of high order wheel polygonalization[J]. Wear, 2019, 424/425: 1-14. doi: 10.1016/j.wear.2019.01.099 [5] 姜子清,司道林,李伟,等. 高速铁路钢轨波磨研究[J]. 中国铁道科学,2014,35(4): 9-14. doi: 10.3969/j.issn.1001-4632.2014.04.02JIANG Ziqing, SI Daolin, LI Wei, et al. On rail corrugation of high speed railway[J]. China Railway Science, 2014, 35(4): 9-14. doi: 10.3969/j.issn.1001-4632.2014.04.02 [6] 谷永磊,赵国堂,王衡禹,等. 轨道振动特性对高速铁路钢轨波磨的影响[J]. 中国铁道科学,2016,37(4): 42-47. doi: 10.3969/j.issn.1001-4632.2016.04.07GU Yonglei, ZHAO Guotang, WANG Hengyu, et al. Effect of track vibration characteristics on rail corrugation of high speed railway[J]. China Railway Science, 2016, 37(4): 42-47. doi: 10.3969/j.issn.1001-4632.2016.04.07 [7] GRASSIE S L. Rail corrugation: characteristics, causes, and treatments[J]. Proceedings of the Institution of Mechanical Engineers, Part F Journal of Rail and Rapid Transit, 2009, 223(6): 581-596. doi: 10.1243/09544097JRRT264 [8] LIU X Y, ZHAI W M. Analysis of vertical dynamic wheel/rail interaction caused by polygonal wheels on high-speed trains[J]. Wear, 2014, 314(1/2): 282-290. [9] CHEN M, SUN Y, GUO Y, et al. Study on effect of wheel polygonal wear on high-speed vehicle-track-subgrade vertical interactions[J]. Wear, 2019, 432/433: 102914.1-102914.9. doi: 10.1016/j.wear.2019.05.029 [10] WU X W, CHI M R, WU P B. Influence of polygonal wear of railway wheels on the wheel set axle stress[J]. Vehicle System Dynamics, 2015, 53(11): 1535-1554. doi: 10.1080/00423114.2015.1063674 [11] QU S, ZHU B, ZENG J, et al. Experimental investigation for wheel polygonisation of high-speed trains[J]. Vehicle System Dynamics, 2021, 59(10): 1573-1586. doi: 10.1080/00423114.2020.1772984 [12] ZHANG J, HAN G X, XIAO X B, et al. Influence of wheel polygonal wear on interior noise of high-speed trains[J]. Journal of Zhejiang University–Science A (Applied Physics & Engineering), 2014: 1002-1018. [13] 王远,佟岩. 高速动车组车轮多边形对车内噪声的影响[J]. 噪声与振动控制,2018,38(1): 147-150. doi: 10.3969/j.issn.1006-1355.2018.01.029WANG Yuan, TONG Yan. Influence of polygonal wheels on interior noise of high-speed trains[J]. Noise and Vibration Control, 2018, 38(1): 147-150. doi: 10.3969/j.issn.1006-1355.2018.01.029 [14] 徐磊,陈宪麦,徐伟昌,等. 基于小波和Wigner-Ville分布的轨道不平顺特征识别[J]. 中南大学学报(自然科学版),2013,44(8): 3344-3350.XU Lei, CHEN Xianmai, XU Weichang, et al. Explored of track irregularity’s characteristic identification based on wavelet method and Wigner-Ville distribution[J]. Journal of Central South University (Science and Technology), 2013, 44(8): 3344-3350. [15] XIAO X, SUN Z, SHEN W A. A Kalman filter algorithm for identifying track irregularities of railway bridges using vehicle dynamic responses[J]. Mechanical Systems and Signal Processing, 2020, 138: 106582.1-106582.27. doi: 10.1016/j.ymssp.2019.106582 [16] WESTEON P F, LING C S, ROBERTS C, et al. Monitoring vertical track irregularity from in-service railway vehicles[J]. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, 2007, 221(1): 75-88. doi: 10.1243/0954409JRRT65 [17] MOLODOVA M, LI Z L, DOLLEVOET R. Axle box acceleration: measurement and simulation for detection of short track defects[J]. Wear, 2011, 271(1/2): 349-356. 期刊类型引用(3)
1. 李浩, 郝鹏毅, 齐福强, 李建钹, 史佳琦, 杨舒怡. 基于SABO-VMD-AR谱的车轮多边形阶数诊断算法. 铁道车辆. 2025(04) 
百度学术2. 戴成昊, 许文天, 彭佳宁, 崔利通, 梁树林, 池茂儒. 基于Kriging代理模型的车轮多边形识别方法研究. 铁道标准设计. 2025(06) 百度学术3. 陈昊苓，张兵. 基于角域同步平均的高速列车车轮多边形检测方法. 机械. 2024(11): 23-32 . 百度学术其他类型引用(2)
-
下载:
百度学术
点击查看大图
计量
- 文章访问数: 740
- HTML全文浏览量: 299
- PDF下载量: 98
- 被引次数: 5