Bearing State Recognition Method Based on Transfer Learning Under Different Working Conditions

Bearing state recognition, especially under variable working conditions, has the problems of low reusability of monitoring data, low state recognition accuracy and low generalization ability of the model. The feature-based transfer learning method can solve the above problems, but it needs to rely o...

Descripción completa

Detalles Bibliográficos
Autores principales: Cao, Ning, Jiang, Zhinong, Gao, Jinji, Cui, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983199/
https://www.ncbi.nlm.nih.gov/pubmed/31906150
http://dx.doi.org/10.3390/s20010234

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983199/
https://www.ncbi.nlm.nih.gov/pubmed/31906150
http://dx.doi.org/10.3390/s20010234

Ejemplares similares