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Proceedings Paper

Profile parameters of wheelset detection for high speed freight train
Author(s): Kai Yang; Li Ma; Xiaorong Gao; Li Wang
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Paper Abstract

Because of freight train, in China, transports goods on railway freight line throughout the country, it does not depart from or return to engine shed during a long phase, thus we cannot monitor the quality of wheel set effectively. This paper provides a system which uses leaser and high speed camera, applies no-contact light section technology to get precise wheel set profile parameters. The paper employs clamping-track method to avoid complex railway ballast modification project. And detailed descript an improved image-tracking algorithm to extract central line from profile curve. For getting one pixel width and continuous line of the profile curve, uses local gray maximum points as direction control points to direct tracking direction. The results based on practical experiment show the system adapted to detection environment of high speed and high vibration, and it can effectively detect the wheelset geometric parameters with high accuracy. The system fills the gaps in wheel set detection for freight train in main line and has an enlightening function on monitoring the quality of wheel set.

Paper Details

Date Published: 8 June 2012
PDF: 6 pages
Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83341W (8 June 2012); doi: 10.1117/12.952474
Show Author Affiliations
Kai Yang, Southwest Jiaotong Univ. (China)
Li Ma, Southwest Jiaotong Univ. (China)
Xiaorong Gao, Southwest Jiaotong Univ. (China)
Li Wang, Southwest Jiaotong Univ. (China)


Published in SPIE Proceedings Vol. 8334:
Fourth International Conference on Digital Image Processing (ICDIP 2012)
Mohamed Othman; Sukumar Senthilkumar; Xie Yi, Editor(s)

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