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Keyword [Wear status identification]
Result: 1 - 4 | Page: 1 of 1
1.
Research On High-speed Milling Tool Wear Status Identification Based On Wavelet Neural Network
2.
Milling Tool Wear Status Identification And Prediction Based On Deep Learning
3.
Research On Tool Wear Status Identification Of GWO-SVM Based On Feature Selection Of Genetic Algorithm
4.
Research On Hob Vibration Signal Noise Reduction And Feature Enhancement And Wear State Identification Method
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