Failure analysis and data-driven maintenance of road tunnel equipment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F23%3A00366007" target="_blank" >RIV/68407700:21260/23:00366007 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.rineng.2023.101034" target="_blank" >https://doi.org/10.1016/j.rineng.2023.101034</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.rineng.2023.101034" target="_blank" >10.1016/j.rineng.2023.101034</a>
Alternative languages
Result language
angličtina
Original language name
Failure analysis and data-driven maintenance of road tunnel equipment
Original language description
The operation and maintenance of each technological system are essential parts of the life cycle. This article describes the result of the analysis of diagnostic data from tunnel equipment and its use. The analysis was carried out with the main objective of finding relations that could be further applied as a specific approach for the diagnostic procedure and possibly for future predictive maintenance of tunnel equipment. The article summarises the research of the project focused on the suitability of diagnostic data for potential use of predictive data-driven maintenance of technological parts in road tunnels. Data records were captured in the technological and tunnel control systems deployed in the Czech tunnels. The relations between warning and failure notifications were analysed together with the selected physical conditions of tunnel equipment during the operation by using measurements of technical parameters such as undervoltage, temperature, etc. Additionally, the impact of these parameters was monitored and evaluated according to the life cycle of the equipment. This resulted in a sequence analysis of states and events detected on particular equipment. In the article, the relations between measured technical parameters and failures are presented, together with the solution proposal that could be applied for failure prediction and enhancements of road tunnels operation and its technological systems by applying predictive maintenance of tunnel equipment. The presented outputs show that the cause of VMS failures can be the reaching of a critical device temperature or undervoltage, that are measurable, detectable even before the failure itself, which can be potentially predicted in this way.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
<a href="/en/project/CK04000109" target="_blank" >CK04000109: Predictive diagnostics of ITS technological equipment using AI approaches</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Results in Engineering
ISSN
2590-1230
e-ISSN
2590-1230
Volume of the periodical
18
Issue of the periodical within the volume
101034
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
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UT code for WoS article
000967296300001
EID of the result in the Scopus database
2-s2.0-85151809458