Analysis of Predictive Maintenance for Tunnel Systems

Tomáš Tichý, Jiří Brož, Zuzana Bělinová and Rastislav Pirník
Additional contact information
Tomáš Tichý: Faculty of Transportation Sciences, Czech Technical University in Prague, 110 00 Prague, Czech Republic
Jiří Brož: Faculty of Transportation Sciences, Czech Technical University in Prague, 110 00 Prague, Czech Republic
Zuzana Bělinová: Faculty of Transportation Sciences, Czech Technical University in Prague, 110 00 Prague, Czech Republic
Rastislav Pirník: Faculty of Electrical Engineering and Information Technology, University of Zilina, 010 26 Zilina, Slovakia

Sustainability, 2021, vol. 13, issue 7, 1-17

Abstract: 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.

Keywords: predictive maintenance; smart diagnostics; tunnel equipment; telematics; data analysis (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
https://www.mdpi.com/2071-1050/13/7/3977/pdf (application/pdf)
https://www.mdpi.com/2071-1050/13/7/3977/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:13:y:2021:i:7:p:3977-:d:529484

Access Statistics for this article

Sustainability is currently edited by Ms. Alexandra Wu

More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().