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SE-U-Lite: Milling Tool Wear Segmentation Based on Lightweight U-Net Model With Squeeze-and-Excitation Module.
Pengyue Zhao
Ziteng Li
Zhichao You
Zhigao Chen
Tao Huang
Kai Guo
Duo Li
Published in:
IEEE Trans. Instrum. Meas. (2024)
Keyphrases
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multiresolution
lightweight
mathematical model
tool wear
image segmentation
low cost
level set
experimental data
visual information
object model
failure prediction