Application of machine learning for acoustic emissions waveform to classify galling wear on sheet metal stamping tools

Griffin, JM, Shanbhag, VV, Pereira, Michael and Rolfe, Bernard 2021, Application of machine learning for acoustic emissions waveform to classify galling wear on sheet metal stamping tools, International Journal of Advanced Manufacturing Technology, vol. 116, pp. 579-596, doi: 10.1007/s00170-021-07408-5.


Title Application of machine learning for acoustic emissions waveform to classify galling wear on sheet metal stamping tools
Author(s) Griffin, JM
Shanbhag, VV
Pereira, MichaelORCID iD for Pereira, Michael orcid.org/0000-0002-7885-5901
Rolfe, BernardORCID iD for Rolfe, Bernard orcid.org/0000-0001-8516-6170
Journal name International Journal of Advanced Manufacturing Technology
Volume number 116
Start page 579
End page 596
Total pages 18
Publisher Springer
Place of publication London, Eng.
Publication date 2021-09
ISSN 0268-3768
1433-3015
Keyword(s) Science & Technology
Technology
Automation & Control Systems
Engineering, Manufacturing
Engineering
Sheet metal stamping
Galling
Acoustic emissions
Mean frequency
Machine leaning
Language eng
DOI 10.1007/s00170-021-07408-5
Field of Research 01 Mathematical Sciences
08 Information and Computing Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30153301

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