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An Approach of Big Data Analytics for Fault Detection
Luleå tekniska universitet, Drift, underhåll och akustik.ORCID iD: 0000-0001-7310-5717
Responsible organisation
2014 (English)In: Newsletter of European Safety and Reliability Association, no December, p. 3-5Article in journal, News item (Other (popular science, discussion, etc.)) Published
Place, publisher, year, edition, pages
2014. no December, p. 3-5
National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
URN: urn:nbn:se:trafikverket:diva-5954Local ID: 34fa4320-eb0f-423c-9e30-c878a72a297bOAI: oai:DiVA.org:trafikverket-5954DiVA, id: diva2:1740991
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Godkänd; 2014; 20150525 (liazha)

Available from: 2023-03-02 Created: 2023-03-02 Last updated: 2025-09-04

Open Access in DiVA

fulltext(878 kB)86 downloads
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File name FULLTEXT01.pdfFile size 878 kBChecksum SHA-512
9dd58d02cee5cd45c4002ee64a25d1d150d49d1e08ba1009a279d1eed6869e1c50667f82a45a4459e4454010b05e1041748b8fba3e45e625f4677207503fd4c9
Type fulltextMimetype application/pdf

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http://www.esrahomepage.org/public/ESRA%20Newsletter%20-%20Dec%202014.pdf

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Zhang, Liangwei

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Total: 87 downloads
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CiteExportLink to record
Permanent link

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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