Digital Twin for rotating machinery fault diagnosis in smart manufacturing
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
About this item
Full title
Author / Creator
Publisher
London: Taylor & Francis
Journal title
Language
English
Formats
Publication information
Publisher
London: Taylor & Francis
Subjects
More information
Scope and Contents
Contents
With significant advancement in information technologies, Digital Twin has gained increasing attention as it offers an enabling tool to realise digitally-driven, cloud-enabled manufacturing. Given the nonlinear dynamics and uncertainty involved during the process of machinery degradation, proper design and adaptability of a Digital Twin model remai...
Alternative Titles
Full title
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2252309242
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2252309242
Other Identifiers
ISSN
0020-7543
E-ISSN
1366-588X
DOI
10.1080/00207543.2018.1552032
