Tool Wear Monitoring Based on Transfer Learning and Improved Deep Residual Network

Tool Wear Monitoring Based on Transfer Learning and Improved Deep Residual Network

Considering the complex structure weight of the existing tool wear state monitoring model based on deep learning, prone to over-fitting and requiring a large amount of training data, a monitoring method based on Transfer Learning and Improved Deep Residual Network is proposed. First, the data is pre...

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Bibliographic Details
Main Authors: Nan Zhang, Jiawei Zhao, Lin Ma, Haoqiang Kong, Huaqiang Li
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Tool wear
condition monitoring
deep residual network
transfer learning
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9950242/

Internet

https://ieeexplore.ieee.org/document/9950242/

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