Multi-Representation Domain Adaptation Network with Duplex Adversarial Learning for Hot-Rolling Mill Fault Diagnosis

The multi-process manufacturing of steel rolling products requires the cooperation of complicated and variable rolling conditions. Such conditions pose challenges to the fault diagnosis of the key equipment of the rolling mill. The development of transfer learning has alleviated the problem of fault...

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Detalles Bibliográficos
Autores principales: Peng, Rongrong, Zhang, Xingzhong, Shi, Peiming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858472/
https://www.ncbi.nlm.nih.gov/pubmed/36673223
http://dx.doi.org/10.3390/e25010083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9858472/
https://www.ncbi.nlm.nih.gov/pubmed/36673223
http://dx.doi.org/10.3390/e25010083

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