A Novel Online Detection System for Wheelset Size in Railway Transportation

Joint Authors

Qin, Yong
Cheng, Xiaoqing
Chen, Yuejian
Xing, Zongyi
Li, Yifan

Source

Journal of Sensors

Issue

Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2016-07-31

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Civil Engineering

Abstract EN

The online detection of wheelset size has important implications for ensuring the safety of railway operation and decreasing the maintenance costs.

Based on laser displacement sensors (LDS), a novel online detection system of the wheel size is proposed using only six two-dimensional LDS and two one-dimensional LDS.

The calculation principles of tread profile and wheel diameter are given, as well as the calibration method.

Errors induced by wheel-rail vibration, misalignment, sensor noise, S-shape running, and wheelset differential are also analyzed.

After system implementation, field experiments were performed using both standard wheel and several real trains.

It turns out that the detection uncertainty of flange width and height is 0.1 mm and wheel diameter 0.3 mm, which can meet the requirements of maintenance.

American Psychological Association (APA)

Cheng, Xiaoqing& Chen, Yuejian& Xing, Zongyi& Li, Yifan& Qin, Yong. 2016. A Novel Online Detection System for Wheelset Size in Railway Transportation. Journal of Sensors،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1110708

Modern Language Association (MLA)

Cheng, Xiaoqing…[et al.]. A Novel Online Detection System for Wheelset Size in Railway Transportation. Journal of Sensors No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1110708

American Medical Association (AMA)

Cheng, Xiaoqing& Chen, Yuejian& Xing, Zongyi& Li, Yifan& Qin, Yong. A Novel Online Detection System for Wheelset Size in Railway Transportation. Journal of Sensors. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1110708

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1110708