State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model.

Fu, Pengyu; Chu, Liang; Hou, Zhuoran; Guo, Zhiqi; Lin, Yang; Hu, Jincheng

Fu, Pengyu; Chu, Liang; Hou, Zhuoran; Guo, Zhiqi; Lin, Yang; Hu, Jincheng.

Afiliação

Fu P; College of Automotive Engineering, Jilin University, Changchun 130022, China.
Chu L; College of Automotive Engineering, Jilin University, Changchun 130022, China.
Hou Z; College of Automotive Engineering, Jilin University, Changchun 130022, China.
Guo Z; College of Automotive Engineering, Jilin University, Changchun 130022, China.
Lin Y; College of Automotive Engineering, Jilin University, Changchun 130022, China.
Hu J; Department of Aeronautical and Automotive Engineering, Loughborough University, Loughborough LE11 3TU, UK.

Sensors (Basel) ; 22(21)2022 Nov 05.

Article em En | MEDLINE | ID: mdl-36366228

Assuntos

Aprendizado de Máquina; Redes Neurais de Computação

Palavras-chave

convolutional neural network (CNN); long short-term memory (LSTM); multi-feature fusion (MFF); state of health (SOH); transfer learning (TL)

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Redes Neurais de Computação / Aprendizado de Máquina Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

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