Case Study: Alstom achieves predictive fault prevention and energy savings with Delfos Energy

Alstom prevents 4 wind turbine failures 15 days ahead with Delfos Energy

Alstom was experiencing critical failures in the yaw gearboxes of its ECO 122 wind turbines, leading to significant energy losses and increased maintenance costs. The company engaged Delfos Energy to address this challenge using its predictive monitoring platform.

Delfos Energy implemented a specific predictive yaw model using machine learning algorithms. The solution successfully predicted failures 15 days in advance, allowing for preventive maintenance. This resulted in four critical failures being avoided and a total reduction in energy losses of 485.95 MWh.

Alstom