Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manuf...
Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing
About this item
Full title
Author / Creator
Publisher
New York, USA: Cambridge University Press
Journal title
Language
English
Formats
Publication information
Publisher
New York, USA: Cambridge University Press
Subjects
More information
Scope and Contents
Contents
The predictive methods of tool wear are usually based on different algorithm predictors, different source data, and different sensing devices for remaining useful life (RUL). In general, it has challenges to model and ensure all of the cutting conditions that are suitable in the actual cutting process for sustainable manufacturing. In order to over...
Alternative Titles
Full title
Tool life prediction via SMB-enabled monitor based on BPNN coupling algorithms for sustainable manufacturing
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2832225094
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2832225094
Other Identifiers
ISSN
0890-0604
E-ISSN
1469-1760
DOI
10.1017/S0890060423000082
