Tool Wear Prediction Model Using Multi-Channel 1D Convolutional Neural Network and Temporal Convolutional Network

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)...

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Bibliographic Details
Main Authors: Min Huang, Xingang Xie, Weiwei Sun, Yiming Li
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Lubricants
Subjects:
tool wear prediction
one-dimensional convolution
temporal convolutional network
Online Access:https://www.mdpi.com/2075-4442/12/2/36

Internet

https://www.mdpi.com/2075-4442/12/2/36

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