Mechanical Sciences
Mechanical Sciences
Mechanical Sciences
Articles | Volume 16, issue 1
Articles | Volume 16, issue 1
https://doi.org/10.5194/ms-16-167-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-16-167-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 16, issue 1
Research article
 | 
25 Mar 2025
Research article |  | 25 Mar 2025

Research on online monitoring of chatter based on continuous wavelet transform and convolutional neural network–vision transformer (CNN-ViT)

Changfu Liu, Daohai Wang, Yuru Lin, and Shuyuan Song

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Short summary
To solve the flutter identification problem in the machining process of thin-walled parts, an online monitoring method based on continuous wavelet transform (CWT) and convolutional neural network–vision transformer (CNN-ViT) is proposed. First, the CNN model is utilized to extract local features from the image obtained after CWT. Then, the self-attention mechanism of the ViT model is employed to capture the global features of the feature map, and, finally, the classification results are output.
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