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On-board Diagnostics Framework
Mälardalen University, School of Innovation, Design and Engineering.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

For as long as complex machines have been around there has also been a need for accurate diagnostic and prognostic capabilities. Over the last decades there have been many attempts to develop and implement systems with various degrees of diagnostic and prognostic abilities, some successful some not. This master thesis presents a software architecture that is used to implement an on-board diagnostic framework capable of advanced diagnostics and prognostics in industrial vehicles. The presented architecture consists of a set of modules that focuses on performance, scalability and simplicity that fulfills the demands of current and upcoming diagnostic and prognostic techniques.

Place, publisher, year, edition, pages
2012. , 40 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:mdh:diva-15664OAI: oai:DiVA.org:mdh-15664DiVA: diva2:561183
External cooperation
CrossControl AB
Subject / course
Computer Science
Uppsok
Technology
Supervisors
Available from: 2012-10-18 Created: 2012-10-17 Last updated: 2012-10-18Bibliographically approved

Open Access in DiVA

On-boardDiagnosticsFramework(1734 kB)342 downloads
File information
File name FULLTEXT01.pdfFile size 1734 kBChecksum SHA-512
232d43185da0d1bba2b93d6d41a20c032d505fb03efa8689d10ba1603dbf974c1d3b030a2d12aedda3d6ee11726bd86ea8160b8e4420f67dc85ea2dae3247a53
Type fulltextMimetype application/pdf

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School of Innovation, Design and Engineering
Computer Science

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CiteExportLink to record
Permanent link

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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