Tool Wear Prediction Model Using Multi-Channel 1D Convolutional Neural Network and Temporal Convolutional Network
Tool wear prediction can ensure product quality and production efficiency during manufacturing. Although traditional methods have achieved some success, they often face accuracy and real-time performance limitations. The current study combines multi-channel 1D convolutional neural networks (1D-CNNs)...
Main Authors: | Min Huang, Xingang Xie, Weiwei Sun, Yiming Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
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Series: | Lubricants |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4442/12/2/36 |
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