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MS-DenseNet-GRU tool wear prediction method based on attention mechanism

Auteur(s): ORCID (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
(Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
(Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
(Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
(Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
(Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
Médium: article de revue
Langue(s): anglais
Publié dans: Structural Health Monitoring
DOI: 10.1177/14759217241240663
Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1177/14759217241240663.
  • Informations
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  • Reference-ID
    10775605
  • Publié(e) le:
    29.04.2024
  • Modifié(e) le:
    29.04.2024
 
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