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
Predicting condition based on oil analysis: A case study
Coimbra University-UC, Department of Mechanical Engineering, Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Coimbra, Portugal.
Coimbra University-UC, Department of Mechanical Engineering, Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Coimbra, Portugal.
Coimbra University-UC, Department of Mechanical Engineering, Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Coimbra, Portugal.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2019 (English)In: Tribology International, ISSN 0301-679X, E-ISSN 1879-2464, Vol. 135, p. 65-74Article in journal (Refereed) Published
Abstract [en]

The paper presents and discusses a model for condition monitoring. Using data from the oil in the Diesel engines of a fleet of urban buses, it studies the evolution of degradation and develops a predictive maintenance policy for oil replacement. Based on the analysis of the oil condition, the intervals of oil replacement can be expanded, allowing increased availability. The paper links time series forecasting with the statistical behavior of some oil effluents, like soot. This exercise can be expanded to include other variables, and the model has the potential to be applied to other physical assets to achieve the best availability based on a condition monitoring policy.

Place, publisher, year, edition, pages
Elsevier, 2019. Vol. 135, p. 65-74
Keywords [en]
Condition monitoring, Predictive maintenance, Oil analysis, Time series, t-Student, Diesel engines
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-73083DOI: 10.1016/j.triboint.2019.01.041ISI: 000469157500007Scopus ID: 2-s2.0-85062372547OAI: oai:DiVA.org:ltu-73083DiVA, id: diva2:1292917
Note

Validerad;2019;Nivå 2;2019-03-13 (johcin)

Available from: 2019-03-01 Created: 2019-03-01 Last updated: 2019-06-20Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Galar, Diego

Search in DiVA

By author/editor
Galar, Diego
By organisation
Operation, Maintenance and Acoustics
In the same journal
Tribology International
Other Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 36 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