Next Article in Journal
Single-Cell Chemical Lysis on Microfluidic Chips with Arrays of Microwells
Previous Article in Journal
Ceramic MEMS Designed for Wireless Pressure Monitoring in the Industrial Environment
Sensors 2012, 12(1), 334-346; doi:10.3390/s120100334
Article

Computer Vision Based Method and System for Online Measurement of Geometric Parameters of Train Wheel Sets

1,* , 2
,
3
,
1
,
1
,
1
,
1
,
1
 and
1
1 Department of Physics, Zhengzhou University of Light Industry, Zhengzhou, 450002, China 2 Key Laboratory of Luminescence and Optical Information of Ministry of Education, Beijing Jiaotong University, Beijing, 100044, China 3 Library of Zhengzhou University of Light Industry, Zhengzhou, 450002, China
* Author to whom correspondence should be addressed.
Received: 1 December 2011 / Revised: 20 December 2011 / Accepted: 21 December 2011 / Published: 30 December 2011
(This article belongs to the Section Physical Sensors)
View Full-Text   |   Download PDF [598 KB, uploaded 21 June 2014]   |   Browse Figures

Abstract

Train wheel sets must be periodically inspected for possible or actual premature failures and it is very significant to record the wear history for the full life of utilization of wheel sets. This means that an online measuring system could be of great benefit to overall process control. An online non-contact method for measuring a wheel set’s geometric parameters based on the opto-electronic measuring technique is presented in this paper. A charge coupled device (CCD) camera with a selected optical lens and a frame grabber was used to capture the image of the light profile of the wheel set illuminated by a linear laser. The analogue signals of the image were transformed into corresponding digital grey level values. The ‘mapping function method’ is used to transform an image pixel coordinate to a space coordinate. The images of wheel sets were captured when the train passed through the measuring system. The rim inside thickness and flange thickness were measured and analyzed. The spatial resolution of the whole image capturing system is about 0.33 mm. Theoretic and experimental results show that the online measurement system based on computer vision can meet wheel set measurement requirements.
Keywords: wheel set; calibration; computer vision; optoelectronic technique; mapping function method wheel set; calibration; computer vision; optoelectronic technique; mapping function method
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
RIS
MDPI and ACS Style

Zhang, Z.-F.; Gao, Z.; Liu, Y.-Y.; Jiang, F.-C.; Yang, Y.-L.; Ren, Y.-F.; Yang, H.-J.; Yang, K.; Zhang, X.-D. Computer Vision Based Method and System for Online Measurement of Geometric Parameters of Train Wheel Sets. Sensors 2012, 12, 334-346.

View more citation formats

Related Articles

Article Metrics

For more information on the journal, click here

Comments

Cited By

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert