Monitoring vertical track irregularity from in-service railway vehicles

被引:138
|
作者
Weston, P. F.
Ling, C. S.
Roberts, C.
Goodman, C. J.
Li, P.
Goodall, R. M. [1 ]
机构
[1] Univ Birmingham, Dept Elect Elect & Comp Engn, Birmingham B15 2TT, W Midlands, England
[2] Univ Loughborough, Dept Elect & Elect Engn, Loughborough, Leics, England
基金
英国工程与自然科学研究理事会;
关键词
railway; track geometry; condition monitoring;
D O I
10.1243/0954409JRRT65
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Condition monitoring of track geometry from sensors mounted on an in-service vehicle offers continual monitoring of track geometry that can aid track maintenance strategies. Mounting and maintaining a full track geometry recording system on an in-service vehicle is an expensive proposition as the commonly used optical sensors are difficult to keep working in the dirty railway environment. A simpler and more cost-effective alternative is to estimate track geometry using a small number of robust sensors such as accelerometers and rate gyroscopes, from which a worthwhile proportion of geometric quality measures and specific irregularities can be identified. This paper describes the theory and practical results of using a bogie-mounted pitch-rate gyro to obtain mean vertical alignment, conditional on the secondary vertical damper geometry. Left and right axlebox-mounted accelerometers can be added to provide short wavelength irregularity, if required. Results from trials on Tyne and Wear Metro vehicles and on a Class 175 mainline vehicle demonstrate effective vertical irregularity monitoring, in particular the ability to monitor vertical irregularity over a wide range of vehicle speeds down to about 1 m s(-1), where vertically sensing accelerometers combined with displacement transducers are unable to function correctly.
引用
收藏
页码:75 / 88
页数:14
相关论文
共 50 条
  • [21] Prediction for Track Vertical Profile Irregularity Index Structure of Shenmu- Shuozhou Railway
    Zhang, Ning
    Liu, Rengkui
    Wang, Futian
    Li, Shiyi
    [J]. 2018 3RD IEEE INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION ENGINEERING (ICITE), 2018, : 80 - 84
  • [22] Determination of railway track longitudinal profile using measured inertial response of an in-service railway vehicle
    OBrien, Eugene J.
    Quirke, Paraic
    Bowe, Cathal
    Cantero, Daniel
    [J]. STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2018, 17 (06): : 1425 - 1440
  • [23] Correlation between Wheel/Rail Vertical Force and Track Profile Irregularity in High Speed Railway
    Niu L.
    [J]. Zhongguo Tiedao Kexue/China Railway Science, 2021, 42 (05): : 50 - 60
  • [24] AN INFLUENCE OF A GENERATED TRACK INTENTIONAL IRREGULARITY ON A STATIC WORK OF A RAILWAY TRACK
    Bednarek, Wl A.
    [J]. ARCHIVES OF CIVIL ENGINEERING, 2021, 67 (01) : 81 - 97
  • [25] Monitoring of strain of in-service railway switch rails through field experimentation
    Cornish, Andrew
    Smith, Roderick A.
    Dear, John
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2016, 230 (05) : 1429 - 1439
  • [26] Track vertical irregularity estimation for railway bridges using a novel and lightweight deep-learning architecture
    Wang, Baoquan
    Zeng, Yan
    Feng, Dongming
    Li, Jian-an
    [J]. VEHICLE SYSTEM DYNAMICS, 2024,
  • [27] Methods to Monitor and Evaluate the Deterioration of Track and Its Components in a Railway In-Service: A Systemic Review
    de Melo, Andre L. O.
    Kaewunruen, Sakdirat
    Papaelias, Mayorkinos
    Bernucci, Liedi L. B.
    Motta, Rosangela
    [J]. FRONTIERS IN BUILT ENVIRONMENT, 2020, 6
  • [28] An explainable artificial intelligence approach for mud pumping prediction in railway track based on GIS information and in-service train monitoring data
    Zeng, Cheng
    Zhao, Guohan
    Xie, Jiawei
    Huang, Jinsong
    Wang, Yankun
    [J]. CONSTRUCTION AND BUILDING MATERIALS, 2023, 401
  • [29] Railway Track Irregularity Measuring by GNSS/INS Integration
    Chen, Qijin
    Zhang, Quan
    Cheng, Yahao
    [J]. PROCEEDINGS OF THE 26TH INTERNATIONAL TECHNICAL MEETING OF THE SATELLITE DIVISION OF THE INSTITUTE OF NAVIGATION (ION GNSS 2013), 2013, : 2180 - 2194
  • [30] Railway Track Irregularity Measuring by GNSS/INS Integration
    Chen, Qijin
    Niu, Xiaoji
    Zhang, Quan
    Cheng, Yahao
    [J]. NAVIGATION-JOURNAL OF THE INSTITUTE OF NAVIGATION, 2015, 62 (01): : 83 - 93