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
Remaining useful life estimation using time trajectory tracking and support vector machines
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.
NSFI/UCR Center for Intelligent Maintenance System (IMS), University of Cincinnati.
NSFI/UCR Center for Intelligent Maintenance System (IMS), University of Cincinnati.
2012 (English)In: 25th International Congress on Condition Monitoring and Diagnostic Engineering (COMADEM 2012): 18–20 June 2012, Huddersfield, UK, IOP Publishing Ltd , 2012, 012063Conference paper (Refereed)
Abstract [en]

In this paper, a novel RUL prediction method inspired by feature maps and SVM classifiers is proposed. The historical instances of a system with life-time condition data are used to create a classification by SVM hyper planes. For a test instance of the same system, whose RUL is to be estimated, degradation speed is evaluated by computing the minimal distance defined based on the degradation trajectories, i.e. the approach of the system to the hyper plane that segregates good and bad condition data at different time horizon. Therefore, the final RUL of a specific component can be estimated and global RUL information can then be obtained by aggregating the multiple RUL estimations using a density estimation method.

Place, publisher, year, edition, pages
IOP Publishing Ltd , 2012. 012063
Series
Journal of Physics Conference Series, ISSN 1742-6588 ; 1
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-39701DOI: 10.1088/1742-6596/364/1/012063Local ID: e8d125aa-ac86-49e6-af08-d0a4c28af511OAI: oai:DiVA.org:ltu-39701DiVA: diva2:1013218
Conference
International Congress on Condition Monitoring and Diagnostic Engineering Management : 18/06/2012 - 20/06/2012
Note

Validerad; 2012; Bibliografisk uppgift: Article number 012063; 20120529 (ysko)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-03-27Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Galar, DiegoKumar, Uday
By organisation
Operation, Maintenance and Acoustics
Other Civil Engineering

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 3 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