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Railroad Turnout Wear Diagnostics
The article presents a few issues related to the technical condition of a railway turnout, an important element of the railway network where about 90% of railway accidents occur. In the first part of the article, the results of railway turnout wear are presented. A comparison of normal forces (in wh...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540130/ https://www.ncbi.nlm.nih.gov/pubmed/34695910 http://dx.doi.org/10.3390/s21206697 |
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author | Kisilowski, Jerzy Kowalik, Rafał |
author_facet | Kisilowski, Jerzy Kowalik, Rafał |
author_sort | Kisilowski, Jerzy |
collection | PubMed |
description | The article presents a few issues related to the technical condition of a railway turnout, an important element of the railway network where about 90% of railway accidents occur. In the first part of the article, the results of railway turnout wear are presented. A comparison of normal forces (in wheel–rail contact) in vehicle traffic on straight track without a turnout and normal forces occurring when a rail vehicle passes a turnout is presented. Then, turnout wear processes for selected speeds are presented. In the next part of the paper, the possibilities of using a vision system are presented, which, in combination with tools for image processing analysis, makes it possible to detect wear and distances between the key elements of a railway turnout. The main idea of the proposed online diagnostic system solution is to use the analysis of received images (photos) with the help of a vision system. The basic problem to be solved in the proposed system was to develop algorithms responsible for generating wear areas from high-resolution images. The algorithms created within the work were implemented and tested in the MATLAB software environment. The presented method is an original procedure for diagnosing turnout elements for each time instant. The proposed system is compatible with railway traffic control systems. |
format | Online Article Text |
id | pubmed-8540130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85401302021-10-24 Railroad Turnout Wear Diagnostics Kisilowski, Jerzy Kowalik, Rafał Sensors (Basel) Article The article presents a few issues related to the technical condition of a railway turnout, an important element of the railway network where about 90% of railway accidents occur. In the first part of the article, the results of railway turnout wear are presented. A comparison of normal forces (in wheel–rail contact) in vehicle traffic on straight track without a turnout and normal forces occurring when a rail vehicle passes a turnout is presented. Then, turnout wear processes for selected speeds are presented. In the next part of the paper, the possibilities of using a vision system are presented, which, in combination with tools for image processing analysis, makes it possible to detect wear and distances between the key elements of a railway turnout. The main idea of the proposed online diagnostic system solution is to use the analysis of received images (photos) with the help of a vision system. The basic problem to be solved in the proposed system was to develop algorithms responsible for generating wear areas from high-resolution images. The algorithms created within the work were implemented and tested in the MATLAB software environment. The presented method is an original procedure for diagnosing turnout elements for each time instant. The proposed system is compatible with railway traffic control systems. MDPI 2021-10-09 /pmc/articles/PMC8540130/ /pubmed/34695910 http://dx.doi.org/10.3390/s21206697 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kisilowski, Jerzy Kowalik, Rafał Railroad Turnout Wear Diagnostics |
title | Railroad Turnout Wear Diagnostics |
title_full | Railroad Turnout Wear Diagnostics |
title_fullStr | Railroad Turnout Wear Diagnostics |
title_full_unstemmed | Railroad Turnout Wear Diagnostics |
title_short | Railroad Turnout Wear Diagnostics |
title_sort | railroad turnout wear diagnostics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540130/ https://www.ncbi.nlm.nih.gov/pubmed/34695910 http://dx.doi.org/10.3390/s21206697 |
work_keys_str_mv | AT kisilowskijerzy railroadturnoutweardiagnostics AT kowalikrafał railroadturnoutweardiagnostics |