Research on Unsupervised Domain Adaptive Bearing Fault Diagnosis Method Based on Migration Learning Using MSACNN-IJMMD-DANN

Research on Unsupervised Domain Adaptive Bearing Fault Diagnosis Method Based on Migration Learning Using MSACNN-IJMMD-DANN

To address the problems of feature extraction, cost of obtaining labeled samples, and large differences in domain distribution in bearing fault diagnosis on variable operating conditions, an unsupervised domain-adaptive bearing fault diagnosis method based on migration learning using MSACNN-IJMMD-DA...

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Autores principales: Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Qinghua Li, Xuelian Yu, Jiaming Chen
Formato: Artículo
Lenguaje:inglés
Publicado: MDPI AG 2025-07-01
Colección:Machines
Materias:
fault diagnosis
transfer learning
multi-scale convolution
attention mechanism
JMMD
unsupervised domain adaptation
Acceso en línea:https://www.mdpi.com/2075-1702/13/7/618
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https://www.mdpi.com/2075-1702/13/7/618

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