lnu.sePublications
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
Scalable validation of industrial equipment using a functional DSMS
Uppsala University.
Volvo Construction Equipment.
Uppsala University.
Luleå University of Technology.
Show others and affiliations
2016 (English)In: Journal of Intelligent Information Systems, ISSN 0925-9902, E-ISSN 1573-7675, 1-25 p.Article in journal (Refereed) Epub ahead of print
Abstract [en]

A stream validation system called SVALI is developed in order to continuously validate correct behavior of industrial equipment. A functional data model allows the user to define meta-data, analyses, and queries about the monitored equipment in terms of types and functions. Two different approaches to validate that sensor readings in a data stream indicate correct equipment behavior are supported: with the model-and-validate approach anomalies are detected based on a physical model, while with learn-and-validate anomalies are detected by comparing streaming data with a model of normal behavior learnt during a training period. Both models are expressed on a high level using the functional data model and query language. The experiments show that parallel stream processing enables SVALI to scale very well with respect to system throughput and response time. The paper is based on a real world application for wheel loader slippage detection at Volvo Construction Equipment implemented in SVALI.

Place, publisher, year, edition, pages
Springer, 2016. 1-25 p.
National Category
Mechanical Engineering
Research subject
Technology (byts ev till Engineering), Mechanical Engineering; Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-61753DOI: 10.1007/s10844-016-0427-2OAI: oai:DiVA.org:lnu-61753DiVA: diva2:1084730
Available from: 2017-03-27 Created: 2017-03-27 Last updated: 2017-04-05

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Håkansson, Lars
In the same journal
Journal of Intelligent Information Systems
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 38 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