Railway Track Monitoring Using Train Measurements: An Experimental Case Study

被引:36
作者
Malekjafarian, Abdollah [1 ]
OBrien, Eugene [1 ]
Quirke, Paraic [1 ,2 ]
Bowe, Cathal [3 ]
机构
[1] Univ Coll Dublin, Sch Civil Engn, Dublin D04 V1W8, Ireland
[2] Murphy Surveys, Global House,Kilcullen Business Campus, Kilcullen D04 V1W8, Kildare, Ireland
[3] Iarnrod Eireann Irish Rail, Tech Dept, Engn & New Works, Dublin D01 V6V6, Ireland
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 22期
基金
爱尔兰科学基金会;
关键词
railway track; drive-by; Hilbert amplitude; energy; monitoring; train; BRIDGE;
D O I
10.3390/app9224859
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
This paper investigates the use of drive-by train measurements for railway track monitoring. An in-service Irish Rail train was instrumented while using accelerometers and a global positioning system. The measurements were taken over two months and the train bogie accelerations from 60 passes on the Dublin-Belfast line were used for this study. A 6 km section of the line is the particular focus, where the maintenance measurements from a Track Recording Vehicle (TRV) were available. The Hilbert transform is used to obtain the instantaneous amplitudes of the acceleration signals. A new representation of the signal is proposed to show the signal energy level as a function of train location. It is shown that the forward speed of the train has a significant influence on the energy level of the signals. Therefore, a two-step speed correction is applied to the data. First, data from passes with forward speed below a certain limit are removed from the data set. Subsequently, a scaling factor is defined for the remaining signals and the energy levels of those signals are scaled while using online speed measurements. The scaled amplitudes are compared with the TRV data. It is shown that the energy levels of the signals match the TRV measurements very well.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] Determination of longitudinal profile of railway track using vehicle-based inertial readings
    Brien, Eugene J. O.
    Bowe, Cathal
    Quirke, Paraic
    Cantero, Daniel
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2017, 231 (05) : 518 - 534
  • [42] Condition Monitoring of Railway Crossing Geometry via Measured and Simulated Track Responses
    Milosevic, Marko D. G.
    Palsson, Bjorn A.
    Nissen, Arne
    Nielsen, Jens C. O.
    Johansson, Hakan
    [J]. SENSORS, 2022, 22 (03)
  • [43] Indirect Monitoring of Frequencies of a Multiple Span Bridge Using Data Collected from an Instrumented Train: A Field Case Study
    Malekjafarian, Abdollah
    Khan, Muhammad Arslan
    OBrien, Eugene J.
    Micu, E. Alexandra
    Bowe, Cathal
    Ghiasi, Ramin
    [J]. SENSORS, 2022, 22 (19)
  • [44] Track gauge optimisation of railway switches using a genetic algorithm
    Palsson, Bjorn A.
    Nielsen, Jens C. O.
    [J]. VEHICLE SYSTEM DYNAMICS, 2012, 50 : 365 - 387
  • [45] Decision support for railway track facility management using OpenBIM
    Liu, Zeru
    Kim, Jung In
    Yoo, Wi Sung
    [J]. AUTOMATION IN CONSTRUCTION, 2024, 168
  • [46] Representation of mechanic hysteresis in a railway track using the Preisach model
    Koc, Wladyslaw
    Wilk, Andrzej
    Chrostowski, Piotr
    Grulkowski, Slawomir
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2013, 227 (F3) : 217 - 228
  • [47] Short soil-binder columns in railway track reinforcement: three-dimensional numerical studies considering the train-track interaction
    Francisco, Andre
    Paixao, Andre
    Varandas, Jose Nuno
    Fortunato, Eduardo
    [J]. COMPUTERS AND GEOTECHNICS, 2018, 98 : 8 - 16
  • [48] Study on vibration of train-track-subgrade coupled system and running safety of train in earthquake
    [J]. Xu, P., 1600, Chinese Academy of Railway Sciences (35): : 125 - 127
  • [49] Monitoring and tracking of a suspension railway based on data-driven methods applied to inertial measurements
    Hesser, Daniel Frank
    Altun, Kubilay
    Markert, Bernd
    [J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2022, 164
  • [50] Experimental tools for railway crossing condition monitoring (crossing condition monitoring tools)
    Liu, X.
    Markine, V. L.
    Wang, H.
    Shevtsov, I. Y.
    [J]. MEASUREMENT, 2018, 129 : 424 - 435