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Title:Sistemi za detekcijo nepravilnosti na tirnih vozilih in njihov vpliv na varnost v železnišem prometu : magistrsko delo
Authors:ID Kociper, Dejan (Author)
ID Sever, Drago (Mentor) More about this mentor... New window
ID Klemenčič, Mitja (Co-mentor)
ID Kosec, Mitja (Co-mentor)
Files:.pdf MAG_Kociper_Dejan_2022.pdf (5,77 MB, This file will be accessible after 17.11.2025)
MD5: B54DB8EE15D36C018913F0E411A53B03
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
Abstract:V magistrskem delu so predstavljeni sodobni detekcijski sistemi, ki se uporabljajo za avtomatsko zaznavo napak na tirnih vozilih za varen potek železniškega prometa. V Sloveniji se trenutno uporabljajo le trije različni detekcijski sistemi, medtem ko se v ostalih državah Evrope in sveta na železniški infrastrukturi že množično uporabljajo različni senzorski in detekcijski sistemi. Za vpeljavo avtomatizacije, uvedbo sodobnih tehnologij in predvsem povečanje varnosti železniškega prometa smo na podlagi izkušenj iz tujine in najpogosteje zaznanih napak na tirnih vozilih izbrali 7 različnih detekcijskih sistemov za vgradnjo na javno železniško omrežje v Sloveniji. Ugotovili smo, da bi bila uvedba sistemov za detekcijo nepravilnosti na slovenskem železniškem omrežju smiselna, saj bi kljub visoki finančni vrednosti investicije z vgradnjo sistemov povečali varnost in zanesljivost železniškega prometa ter naredili korak naprej v razvoju železniškega prometa v Sloveniji.
Keywords:železniški promet, detekcijski sistemi, varnost, železniška infrastruktura
Place of publishing:Maribor
Place of performance:Maribor
Publisher:[D. Kociper]
Year of publishing:2022
Number of pages:1 spletni vir (1 datoteka PDF (XII, 108 f.))
PID:20.500.12556/DKUM-83340 New window
UDC:656.25+629.4.067(043.2)
COBISS.SI-ID:136433411 New window
Publication date in DKUM:24.11.2022
Views:631
Downloads:0
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FG
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:27.10.2022

Secondary language

Language:English
Title:Systems for detection of irragularities on rail vehicles and their impact on railway safety
Abstract:The master thesis presents modern detection systems used for automatic detection of faults on rolling stock for the safe operation of railway traffic. Only three different detection systems are currently in use in Slovenia, while in other countries in Europe and the rest of the world, different sensor and detection systems are already widely used on railway infrastructure. In order to introduce automation, modern technologies and, above all, to increase the safety of railway transport, we have selected 7 different detection systems for installation on the public railway network in Slovenia, based on experience from abroad and the most frequently detected faults on rolling stock. We concluded that the introduction of anomaly detection systems on the Slovenian rail network would make sense, because despite the high financial value of the investment, the installation of the systems would increase the safety and reliability of rail transport and would be a step forward in the development of rail transport in Slovenia.
Keywords:railway traffic, detection systems, safety, railway infrastructure


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