Analysis of Predictive Maintenance for Tunnel Systems

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21260%2F21%3A00351656" target="_blank" >RIV/68407700:21260/21:00351656 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.3390/su13073977" target="_blank" >https://doi.org/10.3390/su13073977</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.3390/su13073977" target="_blank" >10.3390/su13073977</a>

Result language

angličtina

Original language name

Analysis of Predictive Maintenance for Tunnel Systems

Original language description

Smart and automated maintenance could make the system and its parts more sustainable by extending their lifecycle, failure detection, smart control of the equipment, and precise detection and reaction to unexpected circumstances. This article focuses on the analysis of data, particularly on logs captured in several Czech tunnel systems. The objective of the analysis is to find useful information in the logs for predicting upcoming situations, and furthermore, to check the possibilities of predictive diagnostics and to design the process of predictive maintenance. The main goal of the article is to summarize the possibilities of optimizing system maintenance that are based on data analysis as well as expert analysis based on the experience with the equipment in the tunnel. The results, findings, and conclusions could primarily be used in the tunnels; secondarily, these principles could be applied in telematics and lead to the optimization and improvement of system sustainability.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20202 - Communication engineering and systems

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2021

Confidentiality

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

Name of the periodical

Sustainability — Open Access Journal

ISSN

2071-1050

e-ISSN

2071-1050

Volume of the periodical

13

Issue of the periodical within the volume

7

Country of publishing house

CH - SWITZERLAND

Number of pages

17

Pages from-to

1-17

UT code for WoS article

000638919700001

EID of the result in the Scopus database

2-s2.0-85104199993