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Self-organized Selection of Features for Unsupervised On-board Fault Detection
Örebro University, School of Science and Technology.
2010 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Place, publisher, year, edition, pages
2010.
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:oru:diva-12401ISRN: ORU-NAT/DAT-AS-2010/0007--SEOAI: oai:DiVA.org:oru-12401DiVA: diva2:360449
Presentation
T004, Örebro (English)
Uppsok
Technology
Supervisors
Examiners
Available from: 2010-11-03 Created: 2010-11-03 Last updated: 2010-11-03Bibliographically approved

Open Access in DiVA

fulltext(1043 kB)992 downloads
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File name FULLTEXT01.pdfFile size 1043 kBChecksum SHA-512
f4929d0c4aac37c8780a6a2efb8c8b18ca9550ed5da3980d0db65fd9bbc9b38426e897d60b731049dbac881791792120b8632817de7c226fcb845f17e5dbc9c8
Type fulltextMimetype application/pdf

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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
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