Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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
LiDAR data processing for railway catenary digital twin enablement
LuleƄ University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7438-1008
(English)In: Article in journal (Refereed) Submitted
Abstract [en]

Prognostics and health management enables predictive maintenance through techniques like data analytics. Railway catenary is categorised as a linear asset, where inspection and maintenance present challenges due to large distribution of the asset and limitation of current methods. Digital twin can be used to support system level analytics from design to decommissioning. Development of digital twin for railway catenary requires data analytics as well as strategy for information and knowledge storage. Point cloud data recovered through LiDAR scanning contains spatial information, Point cloud data analytics and representation of extracted information forms the base for development of railway catenary digital twin.

Keywords [en]
Catenary, Lidar, Point cloud, Digital twin.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ltu:diva-93582OAI: oai:DiVA.org:ltu-93582DiVA, id: diva2:1703269
Available from: 2022-10-12 Created: 2022-10-12 Last updated: 2022-10-12

Open Access in DiVA

No full text in DiVA

Search in DiVA

By author/editor
Patwardhan, Amit
By organisation
Operation, Maintenance and Acoustics
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 47 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • 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