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Correlation Analysis and Verification of Railway Crossing Condition Monitoring

This paper presents a correlation analysis of the structural dynamic responses and weather conditions of a railway crossing. Prior to that, the condition monitoring of the crossing as well as the indicators for crossing condition assessment are briefly introduced. In the correlation analysis, strong...

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Detalles Bibliográficos
Autores principales: Liu, X., Markine, V. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806185/
https://www.ncbi.nlm.nih.gov/pubmed/31561524
http://dx.doi.org/10.3390/s19194175
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author Liu, X.
Markine, V. L.
author_facet Liu, X.
Markine, V. L.
author_sort Liu, X.
collection PubMed
description This paper presents a correlation analysis of the structural dynamic responses and weather conditions of a railway crossing. Prior to that, the condition monitoring of the crossing as well as the indicators for crossing condition assessment are briefly introduced. In the correlation analysis, strong correlations are found between acceleration responses with irregular contact ratios and the fatigue area. The correlation results between the dynamic responses and weather variables indicate the influence of weather on the performance of the crossing, which is verified using a numerical vehicle-crossing model developed using the multi-body system (MBS) method. The combined correlation and simulation results also indicate degraded track conditions of the monitored crossing. In the condition monitoring of railway crossings, the findings of this study can be applied to data measurement simplification and regression, as well as to assessing the conditions of railway crossings.
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spelling pubmed-68061852019-11-07 Correlation Analysis and Verification of Railway Crossing Condition Monitoring Liu, X. Markine, V. L. Sensors (Basel) Article This paper presents a correlation analysis of the structural dynamic responses and weather conditions of a railway crossing. Prior to that, the condition monitoring of the crossing as well as the indicators for crossing condition assessment are briefly introduced. In the correlation analysis, strong correlations are found between acceleration responses with irregular contact ratios and the fatigue area. The correlation results between the dynamic responses and weather variables indicate the influence of weather on the performance of the crossing, which is verified using a numerical vehicle-crossing model developed using the multi-body system (MBS) method. The combined correlation and simulation results also indicate degraded track conditions of the monitored crossing. In the condition monitoring of railway crossings, the findings of this study can be applied to data measurement simplification and regression, as well as to assessing the conditions of railway crossings. MDPI 2019-09-26 /pmc/articles/PMC6806185/ /pubmed/31561524 http://dx.doi.org/10.3390/s19194175 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, X.
Markine, V. L.
Correlation Analysis and Verification of Railway Crossing Condition Monitoring
title Correlation Analysis and Verification of Railway Crossing Condition Monitoring
title_full Correlation Analysis and Verification of Railway Crossing Condition Monitoring
title_fullStr Correlation Analysis and Verification of Railway Crossing Condition Monitoring
title_full_unstemmed Correlation Analysis and Verification of Railway Crossing Condition Monitoring
title_short Correlation Analysis and Verification of Railway Crossing Condition Monitoring
title_sort correlation analysis and verification of railway crossing condition monitoring
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806185/
https://www.ncbi.nlm.nih.gov/pubmed/31561524
http://dx.doi.org/10.3390/s19194175
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AT markinevl correlationanalysisandverificationofrailwaycrossingconditionmonitoring