Beyond Reliability: From Prediction to Resilience – How Resilience-Based Maintenance and AI Transform Safety of Complex Structures
Abstract
The lecture explores a paradigm shift in the safety and maintenance of complex industrial systems, moving beyond traditional reliability and prediction methods towards resilience-based approaches. The presented concept, Resilience-Based Maintenance (RBM), integrates AI-driven decision support with system-level resilience engineering to anticipate, absorb, and adapt to disruptions under uncertainty. Drawing from recent research in industrial systems and Maintenance 5.0, the talk highlights how AI, digital twins, and human-centric design principles can enhance proactive risk management, reduce downtime, and improve operational continuity. The presentation bridges theory and practice, offering examples from mining and manufacturing sectors, and demonstrates how resilience metrics complement reliability indicators in safeguarding critical infrastructure.
