Tomographic Reconstruction of Rolling Contact Fatigues in Rails using 3D Eddy Current Pulsed Thermography

Xiaotian Chen, Gui Yun Tian, Song Ding, Junaid Ahmed, Wai Lok Woo

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)
78 Downloads (Pure)

Abstract

The detection and quantification of the rolling contact fatigue (RCF) in rail tracks are essential for rail safety and condition-based maintenance. The tomographic reconstruction of the rolling contact fatigue is challenging work. The x-ray is unable to do in-situ inspection effectively. This paper proposes a new approach for RCF construction using 3D eddy current pulsed thermography. A differential time-square-root (sqrt) of temperature drop (DTSTD) is proposed as a mean to construct the sectional images and to reconstruct the thermal tomography image. The proposed method is validated through artificial angular crack slots as well as natural RCF crack. The thermal tomographic reconstruction is compared with the x-ray computed tomography on a rail track head cut-off with RCF cracks.

Original languageEnglish
Article number9446861
Pages (from-to)18488-18496
Number of pages9
JournalIEEE Sensors Journal
Volume21
Issue number17
Early online date4 Jun 2021
DOIs
Publication statusPublished - 1 Sept 2021

Keywords

  • 3D ECPT
  • DTSTD
  • Eddy currents
  • Heating systems
  • Image reconstruction
  • QNDE
  • Rails
  • thermal tomography
  • Three-dimensional displays
  • Tomography
  • X-ray imaging
  • Thermal tomography

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