Work

A New Computer Vision Based Method for Rail Track Detection and Fault Diagnosis in Railways

Year: 2017

Type: article

Abstract: Computer vision-based condition monitoring methods, the methods are increasingly used on railway systems. Rail condition monitoring process can be performed using data obtained with the help of computers using these methods. In this study, a computer-based visual rail condition monitoring is proposed. By means of a camera placed on top of the train the rail that the train is on and the neighbor rail images are taken. On these images, the edge and feature extraction methods are applied to determine the rails. The resulting several faults between railways were studied to determine if there is a failure. The results obtained are given at the end of the study. Experimental results show that the proposed method is examined, it is observed that a healthy and effective results. © 2017 Int. J. Mech. Eng. Rob. Res.

Source: International Journal of Mechanical Engineering and Robotics Research

DOI: 10.18178/ijmerr.6.1.22-27

Authors: Mehmet Karakose, Orhan Yaman, Mehmet Baygin, Kagan Murat, Erhan Akin

Language: English

Topic: Infrastructure Maintenance and Monitoring

Subfield: Civil and Structural Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W2762436084

FWCI: 9.437

Cites: 8

Cited by: 82

Related to: 10