Federated Learning-Enabled Secure Multi-Modal Anomaly Detection for Wire Arc Additive Manufacturing

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Detalles Bibliográficos
Publicado en:	Machines vol. 13, no. 11 (2025), p. 1063-1099
Autor principal:	Mahdi Mohammad Mahruf
Otros Autores:	Raju Md Abdul Goni, Kyung-Chang, Lee, Kim Duck Bong
Publicado:	MDPI AG
Materias:	Predictive maintenance Machine learning Wire Accuracy Datasets Welding parameters Metal forming Lasers Neural networks Sensors Privacy Data processing Data encryption Intelligence Sequences Clients Anomalies Manufacturing Customization Federated learning Geometry Embedding Robustness Additive manufacturing
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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