Research on a Tool Wear Monitoring Algorithm Based on Residual Dense Network

Research on a Tool Wear Monitoring Algorithm Based on Residual Dense Network

To accurately and efficiently detect tool wear values during production and processing activities, a new online detection model is proposed called the Residual Dense Network (RDN). The model is created with two main steps: Firstly, the time-domain signals for a cutting tool are obtained (e.g., using...

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Bibliographic Details
Main Authors:	Yiting Li, Qingsheng Xie, Haisong Huang, Qipeng Chen
Format:	Article
Language:	English
Published:	MDPI AG 2019-06-01
Series:	Symmetry
Subjects:	tool wear residual dense network wavelet denoising convolutional neural network
Online Access:	https://www.mdpi.com/2073-8994/11/6/809

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