A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation.

Qin, Yongrui; Li, Jiangfeng; Zhang, Chenxi; Zhao, Qinpei; Ma, Xiaofeng

Qin, Yongrui; Li, Jiangfeng; Zhang, Chenxi; Zhao, Qinpei; Ma, Xiaofeng.

Afiliación

Qin Y; Faculty of Engineering, The University of Sydney, Sydney, NSW 2006, Australia.
Li J; School of Software Engineering, Tongji University, Shanghai 201804, China.
Zhang C; School of Software Engineering, Tongji University, Shanghai 201804, China.
Zhao Q; School of Software Engineering, Tongji University, Shanghai 201804, China.
Ma X; College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China.

Entropy (Basel) ; 24(12)2022 Nov 28.

Article en En | MEDLINE | ID: mdl-36554138

Palabras clave

attention mechanism; gated recurrent unit; machine learning; signal analysis; tool wear prediction

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Entropy (Basel) Año: 2022 Tipo del documento: Article País de afiliación: Australia

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