/
/
Digitalisation and intelligence for operations

Digitalisation and intelligence for operations

Digital technologies to improve maintenance

Digitalisation and intelligence for operations

We are exploring the integration of digital technologies into the operation of hydroelectric power stations to improve their monitoring and optimisation.

Issues and objectives

We develop intelligent systems capable of analysing operating data to anticipate failures and optimise plant operation.
Reducing unplanned downtime Reduced unplanned downtime thanks to early detection of anomalies.
Optimisation of maintenance and operating costs Optimising maintenance and operating costs using data-driven predictive approaches.
Improved operational decision-making Improved operational decision-making in a flexible operating context.

Our scientific approach

We combine signal analysis, data science and machine learning to model the behaviour of systems and detect operational drifts.
Appropriate acquisition chains and monitoring architectures

Acquisition chains and monitoring architectures adapted to industrial hydroelectric environments.

DuoTurbo HES Laboratory Test
Advanced methods for processing and analysing multi-sensor data

Advanced methods for processing and analysing multi-sensor data, including vibration diagnosis and frequency analysis.

 

image_measurement_Max
Machine learning algorithms and digital twins

Machine learning algorithms and digital twins for automatic anomaly detection and decision support

Meet the team

Our researchers and engineers are the driving force behind the excellence of the Hydro Alps Lab, combining scientific expertise with a passion for hydropower.