Tool-Wear-Estimation System in Milling Using Multi-View CNN Based on Reflected Infrared Images.

Jang, Woong-Ki; Kim, Dong-Wook; Seo, Young-Ho; Kim, Byeong-Hee

Jang, Woong-Ki; Kim, Dong-Wook; Seo, Young-Ho; Kim, Byeong-Hee.

Afiliación

Jang WK; Department of Smart Health Science and Technology, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea.
Kim DW; Electric Power Train R&D Department, Korea Automotive Technology Institute, 303 Pungse-ro, Pungse-myeon, Dongnam-gu, Cheonan 31214, Republic of Korea.
Seo YH; Department of Smart Health Science and Technology, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea.
Kim BH; Department of Mechatronics Engineering, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea.

Sensors (Basel) ; 23(3)2023 Jan 20.

Article en En | MEDLINE | ID: mdl-36772248

Palabras clave

IR vision system; deep learning; laser reflectance; monitoring system; tool wear estimation

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article Pais de publicación: Suiza

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