Tool Wear Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion

Tool Wear Prediction Based on a Multi-Scale Convolutional Neural Network with Attention Fusion

Compared with traditional machine learning algorithms, the convolutional neural network (CNN) has an excellent automatic feature learning ability and can complete the nonlinear representation from original data input to output by itself. However, the CNN does not sufficiently mine the tool wear info...

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Bibliographic Details
Main Authors: Qingqing Huang, Di Wu, Hao Huang, Yan Zhang, Yan Han
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Information
Subjects:
tool wear prediction
multi-scale convolution
attention fusion
Online Access:https://www.mdpi.com/2078-2489/13/10/504

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