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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Détails bibliographiques
Auteurs principaux: Wei Dai, Kui Liang, Bin Wang
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
condition monitoring
convolutional neural network
tool wear
fault diagnosis
statistical process control
Motor vehicles. Aeronautics. Astronautics
TL1-4050
Accès en ligne:https://doaj.org/article/e8c01bb88d0a41798900c50602b0da3f
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https://doaj.org/article/e8c01bb88d0a41798900c50602b0da3f

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