Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 13, issue 2
Articles | Volume 13, issue 2
https://doi.org/10.5194/ms-13-803-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-13-803-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 2
Research article
 | 
07 Oct 2022
Research article |  | 07 Oct 2022

Milling chatter recognition based on dynamic and wavelet packet decomposition

Miao Xie, Xinli Yu, Ze Ren, and Yuqi Li

Viewed

Total article views: 908 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
703 174 31 908 22 23
  • HTML: 703
  • PDF: 174
  • XML: 31
  • Total: 908
  • BibTeX: 22
  • EndNote: 23
Views and downloads (calculated since 07 Oct 2022)
Cumulative views and downloads (calculated since 07 Oct 2022)

Viewed (geographical distribution)

Total article views: 857 (including HTML, PDF, and XML) Thereof 857 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
In this paper, chatter recognition is carried out for milling based on dynamic characteristics and wavelet packets. The relationship between the dynamic characteristics of the machine tool spindle system and chatter recognition is established by constructing a recombined signal containing chatter signal information.
Read more