Wind Turbine Health Monitoring: Current and Future Trends with an Active Learning Twist

摘要

The use of offshore wind farms has been geometrically growing in recent years. Offshore power plants move into deeper waters as European water sites offer impressive wind conditions. However, the cost of an offshore wind farm is relatively high, and therefore, their reliability is crucial if they ever need to be fully integrated into the energy arena. This paper presents an investigation of current monitoring trends for wind turbines (WTs) and will try to address the motivation and the effectiveness of Structural Health Monitoring (SHM) machine learning applications for the different components of a WTs, as well as, the novel idea of intelligent WT in terms of data knowledge transfer and learning.