Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals.

Zhang, Yaping; Qi, Xiaozhi; Wang, Tao; He, Yuanhang

Zhang, Yaping; Qi, Xiaozhi; Wang, Tao; He, Yuanhang.

Afiliación

Zhang Y; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Qi X; Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic, Shenzhen 518055, China.
Wang T; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
He Y; Institute of Intelligent Manufacturing Technology, Shenzhen Polytechnic, Shenzhen 518055, China.

Sensors (Basel) ; 23(10)2023 May 09.

Article en En | MEDLINE | ID: mdl-37430508

Palabras clave

CNN; deep learning; force signals; tool wear

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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