Abstract
Ice throw from the blades of operational wind turbines is a safety concern when wind turbines are installed in a densely built environment. While several commercial solutions exist to detect icing or prevent ice build up altogether, there is still a desire for a more effective low-cost solution. In this contribution a previously instrumented onshore wind turbine is used to proof the concept of a novel ice detection strategy. In this new approach an accelerometer in the tower is used to infer the presence of icing on the rotor. Two approaches are investigated one based on natural frequencies extracted from operational modal analysis and the second based on Gaussian Process time series models.
Original language | English |
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Title of host publication | 9th European Workshop on Structural Health Monitoring (EWSHM 2018), July 10-13, 2018 in Manchester, UK (EWSHM 2018) |
Publisher | NDT.net |
Pages | 1-12 |
Number of pages | 12 |
Publication status | Published - 2018 |
Event | 9th European Workshop on Structural Health Monitoring - Hilton Hotel, Manchester, United Kingdom Duration: 10 Jul 2018 → 13 Jul 2018 Conference number: 9th http://www.bindt.org/events/ewshm-2018/ |
Conference
Conference | 9th European Workshop on Structural Health Monitoring |
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Abbreviated title | EWSHM2018 |
Country/Territory | United Kingdom |
City | Manchester |
Period | 10/07/18 → 13/07/18 |
Internet address |