Cost-effective vibration based detection of wind turbine blade icing from sensors mounted on the tower

Wout Weijtjens, Luis David Avendaño-Valencia, Christof Devriendt, Eleni Chatzi

Research output: Chapter in Book/Report/Conference proceedingConference paper

6 Citations (Scopus)
176 Downloads (Pure)

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 languageEnglish
Title of host publication9th European Workshop on Structural Health Monitoring (EWSHM 2018), July 10-13, 2018 in Manchester, UK (EWSHM 2018)
PublisherNDT.net
Pages1-12
Number of pages12
Publication statusPublished - 2018
Event9th European Workshop on Structural Health Monitoring - Hilton Hotel, Manchester, United Kingdom
Duration: 10 Jul 201813 Jul 2018
Conference number: 9th
http://www.bindt.org/events/ewshm-2018/

Conference

Conference9th European Workshop on Structural Health Monitoring
Abbreviated titleEWSHM2018
Country/TerritoryUnited Kingdom
CityManchester
Period10/07/1813/07/18
Internet address

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