Cpm smart predictive analytics for reliable turbine assets

Duration: 2026–2029

Programme: Competitiveness and Cohesion Programme (IRI S3)

Coordinator: SolidForm (Croatia), https://solidform.hr

CPM is an applied research and innovation project focused on the development of advanced predictive analytics solutions for monitoring, diagnostics, and maintenance of industrial turbine systems.

The system integrates Artificial Intelligence, machine learning, and Industrial Internet of Things (IIoT) technologies to enable continuous acquisition and analysis of operational data, including vibration, temperature, pressure, acoustic signals, and performance indicators. By leveraging edge computing and cloud-based analytics, CPM provides real-time anomaly detection, Remaining Useful Life (RUL) estimation, and efficiency degradation tracking.

Through integration with digital twin models and industrial control systems, CPM introduces a proactive maintenance paradigm, reducing downtime, optimizing operational efficiency, and extending asset lifespan. The project delivers validated predictive maintenance algorithms, a scalable digital platform, and demonstrators in real industrial environments, contributing to the digital transformation of energy and manufacturing sectors.