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Prediction of Drill Bit Breakage Using an Infrared Sensor.
Jeong, Min-Jae; Lee, Sang-Woo; Jang, Woong-Ki; Kim, Hyung-Jin; Seo, Young-Ho; Kim, Byeong-Hee.
Afiliação
  • Jeong MJ; Dry Strip Division Dry Strip System Group, PSK Inc., Hwaseong 18449, Korea.
  • Lee SW; Interdisciplinary Program in Biohealth-Machinery Convergence Engineering, Kangwon National University, Chuncheon 24341, Korea.
  • Jang WK; The Advanced Education Center of Convergence Technology in Personalized Smart Healthcare System for Active Seniors, Kangwon National University, Chuncheon 24341, Korea.
  • Kim HJ; The Advanced Education Center of Convergence Technology in Personalized Smart Healthcare System for Active Seniors, Kangwon National University, Chuncheon 24341, Korea.
  • Seo YH; Dry Strip Division Dry Strip System Group, PSK Inc., Hwaseong 18449, Korea.
  • Kim BH; Interdisciplinary Program in Biohealth-Machinery Convergence Engineering, Kangwon National University, Chuncheon 24341, Korea.
Sensors (Basel) ; 21(8)2021 Apr 16.
Article em En | MEDLINE | ID: mdl-33923630
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2021 Tipo de documento: Article