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Detection of Delamination in Laminate Wind Turbine Blades Using One-Dimensional Wavelet Analysis of Modal Responses
Abstract
This paper demonstrates the effectiveness of a nondestructive diagnostic technique used to determine the location and size of delamination in laminated coatings of wind turbine blades. This is realized based on results of numerical and experimental investigations obtained by the use of the finite element method (FEM) and laser scanning vibrometry (LSV). The proposed method is based on the one-dimensional continuous wavelet transform of vibration parameters of a wind turbine blade. The investigations were conducted for a 1 : 10 scaled-down blade of a 36m rotor wind turbine. Glass fibres and epoxy resin were used as laminate components. For numerical studies, a simple delamination model was proposed. The results obtained by the authors were used to determine the optimal set of parameters of the continuous wavelet transform.The application of high-quality LSV for experimental measurements allowed determining the optimal conditions of measuring procedures.At the same time the capabilities and limitations, resulting from the nature of the measurement method, were identified. In order to maximize the effectiveness of the detection method, preliminary signal processing was performed. Beside base wavelets also different waveform families were tested.The results obtained by the authors showed that it is possible to identify and localize even relatively small damage.
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- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1155/2018/4507879
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- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
SHOCK AND VIBRATION
no. 2018,
pages 1 - 15,
ISSN: 1070-9622 - Language:
- English
- Publication year:
- 2018
- Bibliographic description:
- Doliński Ł., Krawczuk M., Żak A.: Detection of Delamination in Laminate Wind Turbine Blades Using One-Dimensional Wavelet Analysis of Modal Responses// SHOCK AND VIBRATION. -Vol. 2018, (2018), s.1-15
- DOI:
- Digital Object Identifier (open in new tab) 10.1155/2018/4507879
- Verified by:
- Gdańsk University of Technology
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