Predictive Maintenance for Water Supply Networks: Advanced Expert System Models for Enhanced Water Resource Management and Monitoring

Predictive maintenance offers an innovative strategy for managing hydraulic networks by enabling the early detection of potential failures, optimizing maintenance interventions, and enhancing environmental sustainability through reduced water waste. This article examines the technologies, methods, and benefits associated with this paradigm by analyzing case studies and real-world outcomes, fields that remain comparatively underexplored in current research. Particular attention is devoted to techniques for estimating the Remaining Useful Life (RUL) of network components, leveraging a novel regression network-based model. Tests on real datasets enabled a comparison of the proposed approach with findings from earlier studies, highlighting both the effectiveness of this solution and its prospective impact on the optimal management of hydraulic networks.