State Monitoring Method for Tool Wear in Aerospace Manufacturing Processes Based on a Convolutional Neural Network (CNN)

State Monitoring Method for Tool Wear in Aerospace Manufacturing Processes Based on a Convolutional Neural Network (CNN)

In the aerospace manufacturing field, tool conditions are essential to ensure the production quality for aerospace parts and reduce processing failures. Therefore, it is extremely necessary to develop a suitable tool condition monitoring method. Thus, we propose a tool wear process state monitoring...

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Bibliographic Details
Main Authors: Wei Dai, Kui Liang, Bin Wang
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Aerospace
Subjects:
condition monitoring
convolutional neural network
tool wear
fault diagnosis
statistical process control
Online Access:https://www.mdpi.com/2226-4310/8/11/335

Internet

https://www.mdpi.com/2226-4310/8/11/335

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