Applied Machine Learning for IIoT and Smart Production-Methods to Improve Production Quality, Safety and Sustainability.

Frankó, Attila; Hollósi, Gergely; Ficzere, Dániel; Varga, Pal

Frankó, Attila; Hollósi, Gergely; Ficzere, Dániel; Varga, Pal.

Afiliação

Frankó A; Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
Hollósi G; Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
Ficzere D; Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.
Varga P; Department of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, Muegyetem rkp. 3., H-1111 Budapest, Hungary.

Sensors (Basel) ; 22(23)2022 Nov 25.

Article em En | MEDLINE | ID: mdl-36501848

Assuntos

Indústrias; Aprendizado de Máquina; Comunicação; Coleta de Dados; Lacunas de Evidências

Palavras-chave

asset localization; fault detection; industrial IoT; industry 4.0; machine learning; proactive maintenance; prognostics; quality control; safety; security

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Indústrias Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Hungria

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