Remaining Useful Life Prediction Model for Rolling Bearings Based on MFPE-MACNN.

Wang, Yaping; Wang, Jinbao; Zhang, Sheng; Xu, Di; Ge, Jianghua

Wang, Yaping; Wang, Jinbao; Zhang, Sheng; Xu, Di; Ge, Jianghua.

Afiliação

Wang Y; Key Laboratory of Advanced Manufacturing and Intelligent Technology of Ministry of Education, Harbin University of Science and Technology, Harbin 150080, China.
Wang J; School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Zhang S; School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Xu D; School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.
Ge J; School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin 150080, China.

Entropy (Basel) ; 24(7)2022 Jun 30.

Article em En | MEDLINE | ID: mdl-35885128

Palavras-chave

multiscale convolutional attention neural network; multiscale fusion permutation entropy; remaining useful life prediction; resonance sparse decomposition method; rolling bearing

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Entropy (Basel) Ano de publicação: 2022 Tipo de documento: Article

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