IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11568-d915897.html
   My bibliography  Save this article

Rail Sample Laboratory Evaluation of Eddy Current Rail Inspection Sustainable System

Author

Listed:
  • Jiaqing Wang

    (College of Civil Engineering, Nanjing Forestry University, Nangjing 210037, China
    Department of Civil, Environmental, and Geospatial Engineering, Michigan Technological University, Houghton, MI 49931, USA)

  • Qingli Dai

    (Department of Civil, Environmental, and Geospatial Engineering, Michigan Technological University, Houghton, MI 49931, USA)

  • Pasi Lautala

    (Department of Civil, Environmental, and Geospatial Engineering, Michigan Technological University, Houghton, MI 49931, USA)

  • Hui Yao

    (Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Ruizhe Si

    (Institute of Civil Engineering Materaisl, Southwest Jiaotong University, Chengdu 610031, China)

Abstract

Increasing the efficiency, frequency, and speed of rail defect detection can reduce maintenance costs and improve the sustainability of railways. The non-contact eddy current (EC) system can be operated along with a railcar for detecting rail flaws. Even if the EC can be utilized for rail defect identification and characterization, current commercial devices are not sufficient for defect classification on rails by providing highly sensitive signals for post-processing. In this study, we established an efficient and expandable eddy current rail inspection system and verified its capability for classification of different defect signals. The integrated hardware and software EC measurement system was firstly applied to detect notched cracks in steel samples with different crack depths and angles. The measured voltage and current analog inputs from the eddy current sensor were acquired and processed with a fast Fourier transformation (FFT) algorithm in the LabVIEW platform. The real-time impedance was then obtained by transferring signals to a normalized impedance plane plot. The processed EC signals showed adequate sensitivity and efficiency with changes of notched crack depths and angles during the sensor movement. A comparative case study on field rail samples was then conducted to examine the feasibility and capability of the established system on different types of actual rail defects. The experimental analysis and case study results demonstrate that the integrated eddy current system could possibly be used for non-destructive rail crack inspection and classification. The enhanced detection capability (especially on subsurface cracks) and real-time post-processing technique could further contribute to improving rail-life sustainability.

Suggested Citation

  • Jiaqing Wang & Qingli Dai & Pasi Lautala & Hui Yao & Ruizhe Si, 2022. "Rail Sample Laboratory Evaluation of Eddy Current Rail Inspection Sustainable System," Sustainability, MDPI, vol. 14(18), pages 1-22, September.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11568-:d:915897
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11568/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11568/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11568-:d:915897. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.