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An Approach of Big Data Analytics for Fault Detection
Zhang, Liangwei
Luleå tekniska universitet, Drift, underhåll och akustik.
ORCID iD:
0000-0001-7310-5717
Responsible organisation
Swedish Transport Administration
2014 (English)
In:
Newsletter of European Safety and Reliability Association, no December, p. 3-5
Article 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-5954
Local ID: 34fa4320-eb0f-423c-9e30-c878a72a297b
OAI: oai:DiVA.org:trafikverket-5954
DiVA, 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:
2023-03-02
Open Access in DiVA
fulltext
(878 kB)
65 downloads
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FULLTEXT01.pdf
File size
878 kB
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SHA-512
9dd58d02cee5cd45c4002ee64a25d1d150d49d1e08ba1009a279d1eed6869e1c50667f82a45a4459e4454010b05e1041748b8fba3e45e625f4677207503fd4c9
Type
fulltext
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application/pdf
Other links
http://www.esrahomepage.org/public/ESRA%20Newsletter%20-%20Dec%202014.pdf
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Zhang, Liangwei
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Total: 65 downloads
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Permanent link
https://urn.kb.se/resolve?urn=urn:nbn:se:trafikverket:diva-5954
Direct link
http://trafikverket.diva-portal.org/smash/record.jsf?pid=diva2:1740991
Cite
Citation style
apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
Other style
More styles
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de-DE
en-GB
en-US
fi-FI
nn-NO
nn-NB
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en-GB
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fi-FI
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text
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rtf
html
text
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