About this document
Intelligent Chatter Detection in Milling by mortda.inst is a document available to read on EtoBox.
This paper presents an intelligent chatter detection method for high-speed milling using successive variational mode decomposition (SVMD) and a multi-channel feature fusion network (MCFSN). The proposed approach automates chatter detection without manual threshold settings, achieving an average accuracy of 0.9887 across various milling conditions. The method enhances the accuracy and generalization of chatter detection by effectively extracting and selecting sensitive features from chatter signals.
- Author
- mortda.inst
- Language
- EN