International Journal of Computational Intelligence Systems

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Volume 11, Issue 1, 2018, Pages 830 - 845

A New Approach for Condition Monitoring and Detection of Rail Components and Rail Track in Railway*

Authors
Mehmet Karakosemkarakose@firat.edu.tr, Orhan Yamanand†, orhanyaman@firat.edu.tr, Kagan Muratkmurat@firat.edu.tr, Erhan Akineakin@firat.edu.tr
Computer Engineering Department, Firat University, Elazig, 23119, Turkey
†Corresponding author: Computer Engineering Department, Firat University, 23119, Central Elazig, Turkey, Tel: +90-424-2370000, Email address: orhanyaman@firat.edu.tr.
Corresponding Author
Received 30 October 2016, Accepted 16 August 2017, Available Online 1 January 2018.
DOI
10.2991/ijcis.11.1.63How to use a DOI?
Keywords
Railway Component Detection; Rail Tract Direction Detection; Image Processing; Condition Monitoring; Decision Trees
Abstract

Computer vision-based tracking and fault detection methods are increasingly growing method for use on railway systems. These methods make detection of components of the railways and fault detection and condition monitoring process can be performed using data obtained by means of computers. In this study, methods are proposed for fault detection on railway components and condition monitoring. With cameras placed on the bottom and the top of the experimental vehicle the images are taken. The camera at the top, overhead rails are positioned to see a way for war and the camera is fixed to the bottom mounted to see clearly railway components. Images from cameras placed on the bottom, Canny edge extraction and Hough transform methods are applied. The types of the components and faults are determined by using classification algorithm with decision trees using the obtained data. The condition monitoring has done by the camera is positioned on the upper part of the vehicle. By processing the taken images with processing methods, inclination angle of the rails and direction of railways are detected. Thus, during the course of the vehicle is obtained information of the direction of railway. Real images are used in the operation of railways belonging to the experimental environment. On these images, to identify the components of the proposed method using the railways and rail direction determination is made. The results obtained are given at the end of the study. The experimental results are analyzed, it is observed that the proposed method accurate and effective results.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
11 - 1
Pages
830 - 845
Publication Date
2018/01/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.11.1.63How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Mehmet Karakose
AU  - Orhan Yamanand
AU  - Kagan Murat
AU  - Erhan Akin
PY  - 2018
DA  - 2018/01/01
TI  - A New Approach for Condition Monitoring and Detection of Rail Components and Rail Track in Railway*
JO  - International Journal of Computational Intelligence Systems
SP  - 830
EP  - 845
VL  - 11
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.11.1.63
DO  - 10.2991/ijcis.11.1.63
ID  - Karakose2018
ER  -