Deep Transfer Network with Multi-Space Dynamic Distribution Adaptation for Bearing Fault Diagnosis

Domain adaptation-based bearing fault diagnosis methods have recently received high attention. However, the extracted features in these methods fail to adequately represent fault information due to the versatility of the work scenario. Moreover, most existing adaptive methods attempt to align the fe...

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Detalles Bibliográficos
Autores principales: Zheng, Xiaorong, Gu, Zhaojian, Liu, Caiming, Jiang, Jiahao, He, Zhiwei, Gao, Mingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407131/
https://www.ncbi.nlm.nih.gov/pubmed/36010786
http://dx.doi.org/10.3390/e24081122

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407131/
https://www.ncbi.nlm.nih.gov/pubmed/36010786
http://dx.doi.org/10.3390/e24081122

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