Automatic Detection of Track Length Defects

Ensuring the safety of railway transport operation requires constant monitoring of the technical condition of individual elements of railway infrastructure. The necessary activities that contribute to maintaining good operational condition of the railway transport line also include the diagnostics o...

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Vydáno v:LOGI - scientific journal on transport and logistics Ročník 13; číslo 1; s. 13 - 24
Hlavní autoři: Kanis, Juaraj, Zitrický, Vladislav
Médium: Journal Article
Jazyk:angličtina
Vydáno: České Budějovice Sciendo 01.01.2022
De Gruyter Brill Sp. z o.o., Paradigm Publishing Services
Témata:
diagnostics
Infrastructure
neural networks
Railway transport
track length
ISSN:2336-3037, 1804-3216, 2336-3037
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Abstract Ensuring the safety of railway transport operation requires constant monitoring of the technical condition of individual elements of railway infrastructure. The necessary activities that contribute to maintaining good operational condition of the railway transport line also include the diagnostics of track length. Diagnostics of railway tracks is most often performed by means of regular visual inspection (in the conditions of the infrastructure manager – ŽSR). The objective of the article is to provide information on the application of a new approach to diagnostics of the technical condition of railway infrastructure. The new approach to defect identification on railway infrastructure uses non-invasive diagnostic methods based on the latest knowledge in the field of information and communication technologies. These facts resulted in investigating the possibilities of automatic detection of the technical condition of the track length using neural networks. The article is part of the following scientific research task: ‘Research into new knowledge and observational experience of a new generation of diagnostic systems in industrial production and transport industry – research into the physical nature of an automated track length video inspection system’, supported by the Ministry of Education, Science, Research and Sport of the Slovak Republic.
AbstractList Ensuring the safety of railway transport operation requires constant monitoring of the technical condition of individual elements of railway infrastructure. The necessary activities that contribute to maintaining good operational condition of the railway transport line also include the diagnostics of track length. Diagnostics of railway tracks is most often performed by means of regular visual inspection (in the conditions of the infrastructure manager – ŽSR). The objective of the article is to provide information on the application of a new approach to diagnostics of the technical condition of railway infrastructure. The new approach to defect identification on railway infrastructure uses non-invasive diagnostic methods based on the latest knowledge in the field of information and communication technologies. These facts resulted in investigating the possibilities of automatic detection of the technical condition of the track length using neural networks. The article is part of the following scientific research task: ‘Research into new knowledge and observational experience of a new generation of diagnostic systems in industrial production and transport industry – research into the physical nature of an automated track length video inspection system’, supported by the Ministry of Education, Science, Research and Sport of the Slovak Republic.
Author Zitrický, Vladislav
Kanis, Juaraj
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  organization: Univerzity of Zilina, Faculty of Operation and Economics of Transport and Communications, Univerzitná 8215/1, 010 26 Žilina, Slovenská republika
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crossref_primary_10_3390_technologies11020057
crossref_primary_10_1177_09544097251378283
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10.1016/j.engfailanal.2020.104732
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10.3390/su122310154
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SubjectTerms diagnostics
Infrastructure
neural networks
Railway transport
track length
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Title Automatic Detection of Track Length Defects
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