Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0

Electrical and Electronic Engineering; Computer Networks and Communications; Hardware and Architecture; Signal Processing; Control and Systems Engineering

Abstract :

[en] Recent technological advancements such as IoT and Big Data have granted industries extensive access to data, opening up new opportunities for integrating artificial intelligence (AI) across various applications to enhance production processes. We cite two critical areas where AI can play a key role in industry: product quality control and predictive maintenance. This paper presents a survey of AI applications in the domain of Industry 4.0, with a specific focus on product quality control and predictive maintenance. Experiments were conducted using two datasets, incorporating different machine learning and deep learning models from the literature. Furthermore, this paper provides an overview of the AI solution development approach for product quality control and predictive maintenance. This approach includes several key steps, such as data collection, data analysis, model development, model explanation, and model deployment.

Disciplines :

Computer science

Author, co-author :

Andrianandrianina johanesa, Tojo Valisoa ; Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique

EQUETER, Lucas ; Université de Mons - UMONS > Faculté Polytechnique > Service de Génie Mécanique

MAHMOUDI, Sidi ; Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle

Language :

English

Title :

Survey on AI Applications for Product Quality Control and Predictive Maintenance in Industry 4.0

Publication date :

04 March 2024

Journal title :

Electronics

eISSN :

2079-9292

Publisher :

MDPI AG

Volume :

Issue :

Pages :

976

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://www.mdpi.com/2079-9292/13/5/976/pdf

Research unit :

F114 - Informatique, Logiciel et Intelligence artificielle
F707 - Génie Mécanique

Research institute :

R300 - Institut de Recherche en Technologies de l'Information et Sciences de l'Informatique
R500 - Institut des Sciences et du Management des Risques

Name of the research project :

5443 - ARIAC BY DIGITALWALLONIA4.AI - Applications et Recherche pour une Intelligence Artificielle de Confiance - Région wallonne

Funders :

Service Public de Wallonie Recherche

Funding number :

2010235–ARIAC

Funding text :

This work was supported by Service Public de Wallonie Recherche under grant n° 2010235–ARIAC by DIGITALWALLONIA4.AI.

Available on ORBi UMONS :

since 05 March 2024

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