Application of a modal-driven damage assessment framework for ice localization and quantification on wind turbine blades

J. B. Hansen, Rune Brincker, L. Glavind, T. B. Olsen, L. Colone

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Operating wind turbines in northern and/or mountainous regions create the demand for effective ice detection and ice removal systems. Ice accretion on the rotor blades of a wind turbine leads, among other things, to added loads, safety issues and diminished aerodynamic performance of the airfoil. Presently, the capabilities of existing ice detection techniques are limited to determining whether or not ice is present on the blades. This paper presents a feasibility investigation of the implementation of a recent scenario-based modal-driven damage detection, localization and quantification technique for ice detection on a wind turbine blade. The investigation is experimentally founded and consists of a series of full-scale modal tests on a modern wind turbine blade mounted in a fixed test rig. Throughout the test campaign the modal parameters are extracted by means of an automated Operational Modal Analysis algorithm. The vibrational data are extracted in the original state of the blade as well as various ice build-up scenario states. In the perturbation tests sand bags are used to simulate the presence of ice. The output of the detection algorithm is an estimate of location, within 4 discrete areas on the blade, along with an estimate of the size of the additional mass.
Original languageEnglish
Title of host publication 7th IOMAC International Operational Modal Analysis Conference : Short papers
Number of pages4
Publication date2017
Pages220-223
ISBN (Print)978-3-8440-5247-3
Publication statusPublished - 2017
Event7th International Operational Modal Analysis Conference - Ingolstadt, Germany
Duration: 10 May 201712 May 2017
Conference number: 7

Conference

Conference7th International Operational Modal Analysis Conference
Number7
Country/TerritoryGermany
CityIngolstadt
Period10/05/201712/05/2017

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