MD-Francis aims to study the operational impacts of anomalies in Francis turbines. The data collected will contribute to the development of strategies for detecting and diagnosing specific anomalies, the creation of reduced-order models, and the advancement of simulation techniques to predict the influence of anomalies on turbines. MD-Francis also aims to facilitate the integration of predictive maintenance systems for Francis turbines. This is expected to result in reduced downtime for maintenance and a more efficient use of hydraulic energy.

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Various anomalies will be introduced into a modified version of the model turbine studied in the Tr-Francis project. The impact of these anomalies will be characterized through fluid-structure measurements directly on the model and monitoring measurements at strategic locations within the test stand. Experiments will be conducted at different operating regimes, including transient regimes such as start-ups and load rejections.