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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Autori principali:	Qingqing Huang, Di Wu, Hao Huang, Yan Zhang, Yan Han
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2022-10-01
Serie:	Information
Soggetti:	tool wear prediction multi-scale convolution attention fusion
Accesso online:	https://www.mdpi.com/2078-2489/13/10/504
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