Abstract

An electric railway vehicle is supplied with electricity by an OCL (Overhead Contact Line) through the contact strip of its pantograph. This transmitted electricity is then used to power the electrical equipment of the railway vehicle. This contact strip wears out due to contact with the OCL. In particular, deformations due to chipping and material loss occur because of friction with the fittings on the OCL. These deformations on the contact strip affect its power transmission quality because of contact loss with the OCL. However, it is difficult to monitor the contact strip during operation and judge its condition in order to implement accident prevention measures. Thus, in this study, we developed a contact strip monitoring method based on image processing for inspection. The proposed method measures the deformation in the contact strip based on an algorithm that determines the wear on the deformed contact strip using deep learning and image processing. The image of the contact strip is acquired by installing a camera and laser to capture the pantograph as it passes the setup. The proposed algorithm is able to determine the wear size by extracting the edges of the laser line using deep learning and estimating the fitted line of the deformations based on the least squares method.

Highlights

  • Due to the proliferation of high-speed railway lines and other improvement projects, electric railway systems in the Korea are being expanded recently [1]

  • In we propose propose aa simple algorithm to to measure the size size of of aa wear In this this study, study, we simple algorithm measure the wear on on aa deformed deformed contact contact strip based on deep learning and image processing

  • Contact strip strip of of the the pantographs used in high-speed electric railway vehicles. (a) Schematic diagram of contact area. (b) Actual picture of contact strip showing wear condition

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Summary

Introduction

Due to the proliferation of high-speed railway lines and other improvement projects, electric railway systems in the Korea are being expanded recently [1]. Deformations such as cracks and chipping often occur on the contact strip owing to friction with fittings on the OCL [6,7] These deformations affect quality of the power transmission to the railway vehicle because of arcing due to contact loss with the OCL [8]. These deformations cause economic loss because of the need for frequent replacement of the contact strip and accidents due to interruptions in the electricity supply of the railway vehicle [9,10]. Recently, pantograph monitoring systems based on image processing have been

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