Integration of Advanced Analytical Models in Value-Based

Yanging Li, Lead Condition Monitoring Engineer, RWE Generation UK

RWE’s digitalization team aims to maximize existing asset value for a business edge. A key project, Value-Based Maintenance (VBM), uses advanced algorithms to predict failures and optimize maintenance plans based on real-time risk assessment. To achieve this, a cross-functional team built MARA (Maintenance & Asset Reliability Assistant) – a digital toolset with machine learning models that assess component health and predict failures. The presentation will showcase how MARA uses bespoke Seeq models to create health scores and how these scores are integrated into MARA for practical use. Real-world examples will demonstrate the value of these models in improving equipment reliability and availability.