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
Flexible Models for Smart Maintenance
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.
Department of Information Technology, Uppsala University, Uppsala, Sweden.
University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electrical Engineering, Mathematics and Science, Electronics.ORCID iD: 0000-0001-5429-7223
2019 (English)In: Proceedings 2019 IEEE International Conference on Industrial Technology (ICIT), IEEE, 2019, p. 1772-1777Conference paper, Published paper (Refereed)
Abstract [en]

Smart maintenance strategies are becoming increasingly important in the industry, and can contribute to environmentally and economically sustainable production. In this paper a recently developed latent variable framework for nonlinear-system identification is considered for use in smart maintenance. A model is first identified using data from a system operating under normal conditions. Then the identified model is used to detect when the system begins to deviate from normal behavior. Furthermore, for systems that operate on separate batches (units), we develop a new method that identifies individual models for each batch. This can be used both to detect anomalous batches and changes in the system behavior. Finally, the two methods are evaluated on two different industrial case studies. In the first, the purpose is to detect fouling in a heat exchanger. In the second, the goal is to detect when the tool in a wood moulder machine should be changed.

Place, publisher, year, edition, pages
IEEE, 2019. p. 1772-1777
Keywords [en]
Applications, Modeling, Nonlinear systems
National Category
Robotics
Identifiers
URN: urn:nbn:se:hig:diva-30445DOI: 10.1109/ICIT.2019.8754932Scopus ID: 10.1109/ICIT.2019.8754932OAI: oai:DiVA.org:hig-30445DiVA, id: diva2:1338310
Conference
20th IEEE International Conference on Industrial Technology (ICIT), 13-15 February 2019, Melbourne, Australia
Part of project
Flexible Models for Smart Maintenance, Vinnova
Funder
Vinnova, 2017-04807Swedish Energy AgencySwedish Research Council FormasEuropean Regional Development Fund (ERDF)Swedish Agency for Economic and Regional GrowthAvailable from: 2019-07-22 Created: 2019-07-22 Last updated: 2019-10-04Bibliographically approved

Open Access in DiVA

fulltext(427 kB)43 downloads
File information
File name FULLTEXT01.pdfFile size 427 kBChecksum SHA-512
3cc1f8500f8387a5170bd898f89b24182cd0caf35918fe89c0253d25f2756839e045188ba31673534e9b68a648be62ec10d1c7f7ddf62bce7277b0a3ca207ab2
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Mattsson, PerBjörsell, Niclas
By organisation
Electronics
Robotics

Search outside of DiVA

GoogleGoogle Scholar
Total: 43 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 61 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