August 16, 2025SensorsOpen Access

Towards Maintenance 5.0: Resilience-Based Maintenance in AI-Driven Sustainable and Human-Centric Industrial Systems

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Systematic literature review identifies AI methods enhancing resilience in human-centric industrial systems, suggesting future research directions.

Resilience-based maintenance reduces resource consumption while improving human-machine interaction in industrial systems.
Integration of AI, particularly machine learning and digital twins, enhances system adaptability and fault tolerance.
Systematic literature review follows PRISMA methodology, analyzing publications on resilience-based maintenance and sustainability.
Future research should address gaps in AI explainability and sector-specific implementations for Maintenance 5.0.

Bukowski et al. (2025) studied this question.

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Systematic literature review identifies AI methods enhancing resilience in human-centric industrial systems, suggesting future research directions.