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Data Quality Assessment: Applied in Maintenance
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-6135-3008
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Luleå tekniska universitet, 2016.
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-26088Local ID: c94b52b0-7f3e-4d04-8dd4-38be8d828070ISBN: 978-91-7583-520-4 (print)ISBN: 978-91-7583-521-1 (electronic)OAI: oai:DiVA.org:ltu-26088DiVA: diva2:999247
Note
Godkänd; 2016; 20160126 (musalj); Nedanstående person kommer att disputera för avläggande av teknologie doktorsexamen. Namn: Mustafa Aljumaili Ämne: Drift och underhållsteknik/Operation and Maintenance Engineering Avhandling: Data Quality Assessment: Applied in Maintenance Opponent: Docent Mirka Kans, Institutionen för Maskinteknik, Linnéuniversitetet, Växjö. Ordförande: Professor Uday Kumar, Avdelning för Drift, underhåll och akustik, Institutionen för samhällsbyggnad och naturresurser, Luleå tekniska universitet. Tid: Fredag 4 mars 2016, kl 10.00 Plats: F1031, Luleå tekniska universitetAvailable from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-24Bibliographically approved

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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