Cargando…

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

Ejemplares similares

Digital Twin for Automatic Transportation in Industry 4.0
por: Martínez-Gutiérrez, Alberto, et al.
Publicado: (2021)

Intelligent Control and Digital Twins for Industry 4.0
por: Tepljakov, Aleksei
Publicado: (2023)

The impact of digital twins on the evolution of intelligent manufacturing and Industry 4.0
por: Attaran, Mohsen, et al.
Publicado: (2023)

Digital Twin and Smart Manufacturing in Industries: A Bibliometric Analysis with a Focus on Industry 4.0
por: Moiceanu, Georgiana, et al.
Publicado: (2022)

Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies
por: Gallala, Abir, et al.
Publicado: (2022)

Digital Twins in Industry 5.0
por: Lv, Zhihan
Publicado: (2023)

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics
por: Huang, Ziqi, et al.
Publicado: (2021)

A Machine Vision Anomaly Detection System to Industry 4.0 Based on Variational Fuzzy Autoencoder
por: Jiang, Wei
Publicado: (2022)

Pharma 4.0-Artificially Intelligent Digital Twins for Solidified Nanosuspensions
por: Davidopoulou, Christina, et al.
Publicado: (2022)

Industry 4.0 : managing the digital transformation /
por: Ustundag, Alp, 1977-
Publicado: (2018)

Smart Anomaly Detection and Prediction for Assembly Process Maintenance in Compliance with Industry 4.0
por: Tanuska, Pavol, et al.
Publicado: (2021)

Smart agents for the industry 4.0: enabling machine learning in industrial production
por: Hoffmann, Max
Publicado: (2019)

Industry 4.0
por: André, Jean-Claude
Publicado: (2019)

Application of Machine Learning in Industry 4.0 in times of pandemic
por: Romero Bravo, Guadalupe Janette, et al.
Publicado: (2021)

Industry 5.0 or industry 4.0S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies
por: Raja Santhi, Abirami, et al.
Publicado: (2023)

¿Industria 4.0 : transformación digital o cuarta revolución industrial? /
por: Fernández Ledesma, Javier Darío
Publicado: (2019)

Graphene nanoparticles as data generating digital materials in industry 4.0
por: Ali, Muhammad A., et al.
Publicado: (2023)

Patterns for Visual Management in Industry 4.0
por: Fenza, Giuseppe, et al.
Publicado: (2021)

Human–Machine Integration in Processes within Industry 4.0 Management
por: Villalba-Diez, Javier, et al.
Publicado: (2021)

Enhanced Changeover Detection in Industry 4.0 Environments with Machine Learning
por: Miller, Eddi, et al.
Publicado: (2021)

Evaluation of Unobtrusive Microwave Sensors in Healthcare 4.0—Toward the Creation of Digital-Twin Model
por: Khan, Sagheer, et al.
Publicado: (2022)

Industry 4.0: the industrial Internet of Things
por: Gilchrist, Alasdair
Publicado: (2016)

A Guide for the Food Industry to Meet the Future Skills Requirements Emerging with Industry 4.0
por: Akyazi, Tugce, et al.
Publicado: (2020)

Digital Twins Supporting Efficient Digital Industrial Transformation
por: Bamunuarachchi, Dinithi, et al.
Publicado: (2021)

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0
por: Ruppert, Tamás, et al.
Publicado: (2022)

Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model
por: Czvetkó, Tímea, et al.
Publicado: (2021)

Machine Learning in Injection Molding: An Industry 4.0 Method of Quality Prediction
por: Párizs, Richárd Dominik, et al.
Publicado: (2022)

Industry 5.0: improving humanization and sustainability of Industry 4.0
por: Grabowska, Sandra, et al.
Publicado: (2022)

Can a Byte Improve Our Bite? An Analysis of Digital Twins in the Food Industry
por: Henrichs, Elia, et al.
Publicado: (2021)

What Drives the Usage of Management Tools Supporting Industry 4.0 in Organizations?
por: Nedelko, Zlatko
Publicado: (2021)

Advances in mathematics for industry 4.0
por: Ram, Mangey
Publicado: (2020)

Industry 4.0 and Digitalisation in Healthcare
por: Popov, Vladimir V., et al.
Publicado: (2022)

Polymers and Nanotechnology for Industry 4.0
por: Díez-Pascual, Ana M.
Publicado: (2023)

Predictive Maintenance for Injection Molding Machines Enabled by Cognitive Analytics for Industry 4.0
por: Rousopoulou, Vaia, et al.
Publicado: (2020)

Industry 4.0 towards Forestry 4.0: Fire Detection Use Case †
por: Sahal, Radhya, et al.
Publicado: (2021)

Learnings from Industry 4.0 for transitioning towards Industry 4.0+: challenges and solutions for Indian pharmaceutical sector
por: Sharma, Mahak, et al.
Publicado: (2023)

A Human Digital-Twin-Based Framework Driving Human Centricity towards Industry 5.0
por: Modoni, Gianfranco E., et al.
Publicado: (2023)

Construction of Digital Management Model of Personnel Archives Information Based on the Concept of Industry 4.0
por: Han, Jiaonan
Publicado: (2022)

Pharma 4.0: analysis on core competence and digital levelling implementation in pharmaceutical industry in Indonesia
por: Nurlaela Arief, N., et al.
Publicado: (2022)

Computational methods for application in industry 4.0
por: Karkalos, Nikolaos E, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_mqbk442i81ecn991ggddh5fbdo