Federated Learning for Predictive Maintenance and Anomaly Detection Using Time Series Data Distribution Shifts in Manufacturing Processes

In the manufacturing process, equipment failure is directly related to productivity, so predictive maintenance plays a very important role. Industrial parks are distributed, and data heterogeneity exists among heterogeneous equipment, which makes predictive maintenance of equipment challenging. In t...

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Detalles Bibliográficos
Autores principales: Ahn, Jisu, Lee, Younjeong, Kim, Namji, Park, Chanho, Jeong, Jongpil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490086/
https://www.ncbi.nlm.nih.gov/pubmed/37687787
http://dx.doi.org/10.3390/s23177331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490086/
https://www.ncbi.nlm.nih.gov/pubmed/37687787
http://dx.doi.org/10.3390/s23177331

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