Predictive Maintenance in the Era of Industry 5.0: Challenges and OpportunitiesPages 404-410
Houssem Hosni Abstract:
As the industrial landscape evolves, integrating advanced maintenance strategies becomes essential for sustainable and efficient operations. In this paper we investigate predictive maintenance as aligned towards the concept of Industry 5.0 for industrial systems administration. First, we provide the definitions of predictive maintenance and Industry 5.0 to set the stage for an understanding of their synergy. The main objectives of this research are to identify some of the key technologies that support predictive maintenance, such as the Internet of Things, artificial intelligence and digital twins for advanced data analysis and informed decisions being made. We also speak to the technical challenges of integrating these technologies, and organizational barriers including resistance to change within companies. The article looks at how digital transformation can open opportunities, illustrated with concrete case studies that show it can be used to great effect in different sectors. We then, present future perspectives that will guide businesses to employ predictive maintenance for improving their operational performance in the industry 5.0.
Keywords: Predictive maintenance,
Industry 5.0,
Internet of things,
Artificial intelligence,
Digital twins
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