Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)

A Train Hot Bearing Detection System Based on Infrared Array Sensor

Authors
Ying Wang, ZhengRong Wu
Corresponding Author
Ying Wang
Available Online February 2013.
DOI
https://doi.org/10.2991/isccca.2013.184How to use a DOI?
Keywords
infrared array sensor, train hot bearing detection system, Bayesian classifier
Abstract
Train wheel hot bearing is the primary cause of cutting-axle fracture and severe hotbox accidents, which poses a great threat to the safety of railway transmission. It is necessary and vital to research and develop the technique of hot bearing detector and corresponding system for maintaining the reliable operation of railway system and meeting the requirement of high speed train. In this paper, based on advanced infrared array sensor, a train hot bearing detection system which adopts master-slaver mode, collects bearing temperature array data and uses Bayesian classifier for hotbox discrimination is established to monitor train wheel hot bearing and the detector itself. It provides possibility to improve the accuracy of hotbox alarm, display the waveform of bearing temperature on 3D and manage the bearing information on whole line.
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Volume Title
Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
Series
Advances in Intelligent Systems Research
Publication Date
February 2013
ISBN
978-90-78677-63-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/isccca.2013.184How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ying Wang
AU  - ZhengRong Wu
PY  - 2013/02
DA  - 2013/02
TI  - A Train Hot Bearing Detection System Based on Infrared Array Sensor
BT  - Proceedings of the 2nd International Symposium on Computer, Communication, Control and Automation (ISCCCA 2013)
PB  - Atlantis Press
SP  - 733
EP  - 736
SN  - 1951-6851
UR  - https://doi.org/10.2991/isccca.2013.184
DO  - https://doi.org/10.2991/isccca.2013.184
ID  - Wang2013/02
ER  -