Nonlinear process modeling via unidimensional convolutional neural networks with self-attention on global and local inter-variable structures and its application to process monitoring.

Li, Shipeng; Luo, Jiaxiang; Hu, Yueming

Li, Shipeng; Luo, Jiaxiang; Hu, Yueming.

Afiliação

Li S; School of Automation Science and Engineering, South China University of Technology, Guangzhou, China; Engineering Research Center of Ministry of Education for Precision Electronic Manufacturing Equipment, South China University of Technology, Guangzhou, China. Electronic address: im.lishipeng@gmail.com.
Luo J; School of Automation Science and Engineering, South China University of Technology, Guangzhou, China; Engineering Research Center of Ministry of Education for Precision Electronic Manufacturing Equipment, South China University of Technology, Guangzhou, China. Electronic address: luojx@scut.edu.cn.
Hu Y; School of Automation Science and Engineering, South China University of Technology, Guangzhou, China; Engineering Research Center of Ministry of Education for Precision Electronic Manufacturing Equipment, South China University of Technology, Guangzhou, China. Electronic address: auymhu@scut.com.

ISA Trans ; 121: 105-118, 2022 Feb.

Article em En | MEDLINE | ID: mdl-33888295

Assuntos

Algoritmos; Redes Neurais de Computação; Inteligência; Dinâmica não Linear; Software

Palavras-chave

Attention mechanism; Convolutional neural network; Industrial process modeling and monitoring; Inter-variable structure

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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XML

PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Algoritmos / Redes Neurais de Computação Idioma: En Ano de publicação: 2022 Tipo de documento: Article