Integration of Digital Twin, Machine-Learning and Industry 4.0 Tools for Anomaly Detection: An Application to a Food Plant

This work describes a structured solution that integrates digital twin models, machine-learning algorithms, and Industry 4.0 technologies (Internet of Things in particular) with the ultimate aim of detecting the presence of anomalies in the functioning of industrial systems. The proposed solution ha...

Descripción completa

Detalles Bibliográficos
Autores principales: Tancredi, Giovanni Paolo, Vignali, Giuseppe, Bottani, Eleonora
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185356/
https://www.ncbi.nlm.nih.gov/pubmed/35684764
http://dx.doi.org/10.3390/s22114143

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9185356/
https://www.ncbi.nlm.nih.gov/pubmed/35684764
http://dx.doi.org/10.3390/s22114143

Ejemplares similares