Failure analysis and data-driven maintenance of road tunnel equipment

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Failure analysis and data-driven maintenance of road tunnel equipment

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Failure analysis and data-driven maintenance of road tunnel equipment

Popis výsledku anglicky

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.

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/CK04000109" target="_blank" >CK04000109: Prediktivní diagnostika technologických zařízení ITS s využitím přístupů AI</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Results in Engineering

ISSN

2590-1230

e-ISSN

2590-1230

Svazek periodika

18

Číslo periodika v rámci svazku

101034

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

—

Kód UT WoS článku

000967296300001

EID výsledku v databázi Scopus

2-s2.0-85151809458