Articles | Volume 13, issue 2
https://doi.org/10.5194/ms-13-803-2022
https://doi.org/10.5194/ms-13-803-2022
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: 2,016 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,315 623 78 2,016 74 172
  • HTML: 1,315
  • PDF: 623
  • XML: 78
  • Total: 2,016
  • BibTeX: 74
  • EndNote: 172
Views and downloads (calculated since 07 Oct 2022)
Cumulative views and downloads (calculated since 07 Oct 2022)

Cited

Latest update: 05 Sep 2026
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.
Share