Online chatter detection in milling process based on VMD and multiscale entropy
Kai Li(Central South University), Xinyong Mao(Huazhong University of Science and Technology), Songping He(Huazhong University of Science and Technology), Bin Li(Huazhong University of Science and Technology), Hongqi Liu(Virginia Tech), Bo Luo(Huazhong University of Science and Technology)
The International Journal of Advanced Manufacturing Technology
November 16, 2019
Cited by 33
Related Papers
Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification
|IEEE Transactions on Industrial Electronics|2018|303
Using Multiple-Feature-Spaces-Based Deep Learning for Tool Condition Monitoring in Ultraprecision Manufacturing
|IEEE Transactions on Industrial Electronics|2018|139
Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion
|IEEE Transactions on Industrial Informatics|2019|104
A novel adversarial domain adaptation transfer learning method for tool wear state prediction
|Knowledge-Based Systems|2022|66
Bayesian uncertainty quantification and propagation for prediction of milling stability lobe
|Mechanical Systems and Signal Processing|2019|56