Abstract
Early detection of component failure in wind turbines produces a great value in savings. We present an external method for obtaining the tower vibrations using videogrammetry. We use a multi-view image acquisition system and a set of fiducial markers set on the surface of the tower. Targets are identified using a radial symmetry measure, their centre is located through elliptical model fitting, and they are recognized through a standard segmentation and decoding method. Finally targets are tracked and displacements processed. We have obtained good results in the tests performed and we intend to continue gathering data to build a classification system for identifying abnormal vibrations.
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Acknowledgments
This work was funded by the Spanish Centro para el Desarrollo Tecnológico Industrial (CDTI), program under Grant ITC_20133096.
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Rodríguez, G., Fuciños, M., Pardo, X.M., Fdez-Vidal, X.R. (2015). Videogrammetry System for Wind Turbine Vibration Monitoring. In: Paredes, R., Cardoso, J., Pardo, X. (eds) Pattern Recognition and Image Analysis. IbPRIA 2015. Lecture Notes in Computer Science(), vol 9117. Springer, Cham. https://doi.org/10.1007/978-3-319-19390-8_57
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DOI: https://doi.org/10.1007/978-3-319-19390-8_57
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