Multi-representation symbolic convolutional neural network: a novel multisource cross-domain fault diagnosis method for rotating system
Auteur(s): |
Sixiang Jia
(School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China)
Yongbo Li (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China) Gang Mao (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China) Khandaker Noman (School of Aeronautics, Northwestern Polytechnical University, Xi’an, Shaanxi, China) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, avril 2023, n. 6, v. 22 |
Page(s): | 147592172311574 |
DOI: | 10.1177/14759217231157487 |
- Informations
sur cette fiche - Reference-ID
10730080 - Publié(e) le:
30.05.2023 - Modifié(e) le:
14.01.2024