Wind Turbine Performance Monitoring using Artificial Neural Networks With a Multi-Dimensional Data Filtering Approach
Journal: Chalmers Publication Library (Chalmers University of Technology)
Year: 2015

The wind power sector has grown rapidly and has become a substantial part of the global sustainable energy production. Performance and condition monitoring systems are gaining ground, but most faults are still detected during planned maintenance. This can lead to long time periods of underperformance, which translates to lost revenues.\nIn this thesis, Artificial Neural Networks (ANN) are used to model the normal behaviour of a wind turbine, which could be used for real-time monitoring of operat