Li, X.; Wang, J.; Wang, J.; Wang, J.; Liu, J.; Chen, J.; Yu, X.
Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on Deep Residual Shrinkage Network with Dynamic Convolution and Selective Kernel Attention Model. Algorithms 2025, 18, 569.
https://doi.org/10.3390/a18090569
AMA Style
Li X, Wang J, Wang J, Wang J, Liu J, Chen J, Yu X.
Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on Deep Residual Shrinkage Network with Dynamic Convolution and Selective Kernel Attention Model. Algorithms. 2025; 18(9):569.
https://doi.org/10.3390/a18090569
Chicago/Turabian Style
Li, Xiaoxu, Jixuan Wang, Jianqiang Wang, Jiahao Wang, Jiamin Liu, Jiaming Chen, and Xuelian Yu.
2025. "Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on Deep Residual Shrinkage Network with Dynamic Convolution and Selective Kernel Attention Model" Algorithms 18, no. 9: 569.
https://doi.org/10.3390/a18090569
APA Style
Li, X., Wang, J., Wang, J., Wang, J., Liu, J., Chen, J., & Yu, X.
(2025). Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on Deep Residual Shrinkage Network with Dynamic Convolution and Selective Kernel Attention Model. Algorithms, 18(9), 569.
https://doi.org/10.3390/a18090569