Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
INFRALERT: improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques
CEMOSA, Spain.
CEMOSA, Spain.
Fraunhofer IVI, Dresden, Germany.
Fraunhofer IVI, Dresden, Germany.
Show others and affiliations
2018 (English)In: Proceedings of 7th Transport Research Arena TRA, Vienna, Austria, 2018, Vienna, Austria, 2018Conference paper, Published paper (Refereed)
Abstract [en]

The on-going H2020 project INFRALERT aims to increase rail and road infrastructure capacity in the current framework of increased transportation demand by developing and deploying solutions to optimise maintenance interventions planning. INFRALERT develops an ICT platform - the expert-based Infrastructure Management System eIMS - which follows a modular approach including several expert-based toolkits. This paper presents the architecture of the eIMS as well as the functionalities, methodologies and exemplary results of the toolkits for i) nowcasting and forecasting of asset condition, ii) alert generation, iii)  RAMS & LCC analysis and iv) decision support. The applicability and effectiveness of the eIMS and its toolkits will be demonstrated in two real-world pilot scenarios, which are described in the paper: a meshed road network in Portugal under the jurisdiction of Infraestruturas de Portugal (IP) and a freight railway line in Northern Europe managed by Trafikverket

Place, publisher, year, edition, pages
Vienna, Austria, 2018.
Keywords [en]
intelligent maintenance, linear transport infrastructure, condition nowcasting & forecasting, alert management, RAMS & LCC, decision support, maintenance & interventions planning
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Sustainable transportation (AERI); Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-65940OAI: oai:DiVA.org:ltu-65940DiVA, id: diva2:1146716
Conference
7th Transport Research Arena TRA 2018, Vienna, 16 – 19 April 2018
Funder
EU, Horizon 2020, SEP-210181906Available from: 2017-10-03 Created: 2017-10-03 Last updated: 2018-06-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

http://infralert.eu/wp-content/multiverso-files/4_56128ae071b45/TRA2018_paper10694_FINAL.pdf

Authority records BETA

Odelius, JohanFamurewa, Stephen Mayowa

Search in DiVA

By author/editor
Odelius, JohanFamurewa, Stephen Mayowa
By organisation
Operation, Maintenance and Acoustics
Reliability and MaintenanceOther Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 113 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf