A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines.
Resource URI: https://dblp.l3s.de/d2r/resource/publications/journals/air/NguyenMT23
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dcterms:
bibliographicCitation
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http://dblp.uni-trier.de/rec/bibtex/journals/air/NguyenMT23
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dc:
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https://dblp.l3s.de/d2r/resource/authors/Do_T._Tran
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dc:
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<
https://dblp.l3s.de/d2r/resource/authors/Kamal_Medjaher
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dc:
creator
<
https://dblp.l3s.de/d2r/resource/authors/Khanh_T._P._Nguyen
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foaf:
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<
http://dx.doi.org/doi.org%2F10.1007%2Fs10462-022-10260-y
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dc:
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DBLP journals/air/NguyenMT23
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dc:
identifier
DOI doi.org%2F10.1007%2Fs10462-022-10260-y
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dcterms:
issued
2023
(xsd:gYear)
swrc:
journal
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https://dblp.l3s.de/d2r/resource/journals/air
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rdfs:
label
A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines.
(xsd:string)
foaf:
maker
<
https://dblp.l3s.de/d2r/resource/authors/Do_T._Tran
>
foaf:
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<
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swrc:
month
April
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swrc:
number
4
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swrc:
pages
3659-3709
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A review of artificial intelligence methods for engineering prognostics and health management with implementation guidelines.
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56
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