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
Opportunistic inspection planning for Railway eMaintenance
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0003-2976-5229
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-1938-0985
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Number of Authors: 42016 (English)In: IFAC-PapersOnLine, ISSN 2405-8963, Vol. 49, no 28, p. 197-202Article in journal (Refereed) Published
Abstract [en]

Railway infrastructure is a complex system that comprises of several subsystems which interacts in hierarchical, multi-distributive and multi-user environment. It is a difficult task to perform inspections for all the assets at an instant because the train management system decides when to conduct different types of inspection techniques on several assets in a particular track section. There are two main wastes of resources for inspection planning occurred in maintenance; under usage due to inaccurate prediction of failure and over usage because the necessary information already has been acquired from other sources. These irregularities lead to wastage of resources, for instance, human, machine and time that has tremendous implications on cost, availability and manpower. This paper proposes a methodology by using intelligent functional test outcome to assess the performability of an asset and integrating the data to the eMaintenance cloud platform of Swedish railway infrastructure. By implementing this methodology, we can achieve better planning of resources for optimal performance of assets. A case study is performed on Switches and Crossings of Swedish railway infrastructure for the applicability of the proposed methodology.

Place, publisher, year, edition, pages
2016. Vol. 49, no 28, p. 197-202
Keywords [en]
inspection planning, eMaintenance, Railway eMaintenance, Opportunistic, Switches and crossings, Intelligent functional test, Information technology - Computer science
Keywords [sv]
Informationsteknik - Datorvetenskap
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-38686DOI: 10.1016/j.ifacol.2016.11.034ISI: 000401258400034Scopus ID: 2-s2.0-85006482341Local ID: d2444b3d-18e5-4c92-b1db-66fcc0aa3c54OAI: oai:DiVA.org:ltu-38686DiVA, id: diva2:1012187
Conference
IFAC Workshop on Advanced Maintenance Engineering, Service and Technology : 19/10/2016 - 21/10/2016
Note

Konferensartikel i tidskrift

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Garmabaki, AmirThaduri, AdithyaSeneviratne, DammikaKumar, Uday

Search in DiVA

By author/editor
Garmabaki, AmirThaduri, AdithyaSeneviratne, DammikaKumar, Uday
By organisation
Operation, Maintenance and Acoustics
Other Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 244 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