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PiB Predictive and intelligent technical operation to reduce the risk of icing of wind turbines - Data Mining and Data Analytics Structural loads do not only stress wind turbines and rotor blades, they are also affected by extreme environmental influences. Depending on the location of the wind turbine, there is a risk of icing at the leading edge of the rotor blades, in particular at low temperatures and high atmospheric humidity. Within the PiB project, a predictive and intelligent technical operation to reduce the risk of icing of wind turbines will be investigated. Therefore, a new, comprehensive approach based on data mining and data analysis is adopted. In this concept, historical data, meteorological data, and lifecycle data in addition to the current SCADA data is considered. In addition, the innovative system is not limited to one wind turbine or one wind farm. Furthermore, it is planned to enable networking with other wind parks. As result, it is intended to provide a comprehensive picture of the individual risk of icing for each wind turbine. Contact persons: J. Ohlendorf   (Project manager)A. Ait Alla M. Kreutz Funded by: BMWi Duration: 01.12.2017 - 01.11.2020 See project's publications List all projects |
