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An Approach of Big Data Analytics for Fault Detection
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-7310-5717
2014 (English)In: Newsletter of European Safety and Reliability Association, p. 3-5Article in journal, News item (Other (popular science, discussion, etc.)) Published
Place, publisher, year, edition, pages
2014. p. 3-5
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-5254Local ID: 34fa4320-eb0f-423c-9e30-c878a72a297bOAI: oai:DiVA.org:ltu-5254DiVA, id: diva2:978128
Note
Godkänd; 2014; 20150525 (liazha)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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fulltext(878 kB)50 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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CiteExportLink to record
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