Project information

  • Category: AI model development
  • Project date: 01 April, 2022
  • Client: Eleven Integration

Real time wind turbine anomally detection

This project uses state of the art deep learning methods (Time series transformers) to create an anomally detection model that can identify when wind turbines begin to behave in unexpected ways, such as vibrating or rotating irregulally. The model identifies both the state of the blades and if they are operating within normal parameters.