Integrating AI and IoT for Predictive Maintenance in Industry 4.0 Manufacturing Environments: A Practical Approach

Predictive maintenance is a crucial component of smart manufacturing in Industry 4.0, utilizing data from IoT sensor networks and machine learning algorithms to predict equipment failures before they happen. This proactive approach enables timely maintenance of equipment and machinery, reducing unpl...

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Auteurs principaux:	Rajnish Rakholia, Andrés L. Suárez-Cetrulo, Manokamna Singh, Ricardo Simón Carbajo
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2025-08-01
Collection:	Information
Sujets:	predictive maintenance smart manufacturing Industry 4.0 artificial intelligence machine learning food processing
Accès en ligne:	https://www.mdpi.com/2078-2489/16/9/737
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