Damage Detection in Wind Turbine Blade Panels Using Three Different SHM Techniques
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Publisher
Springer New York
Link
http://link.springer.com/content/pdf/10.1007/978-1-4419-9716-6_12
Reference17 articles.
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4. Michaels J. E., Croxford A. J., Wilcox P. D., Imaging algorithms for locating damage via in situ ultrasonic sensors, SAS 2008–IEEE Sensors Applications Symposium, Feb 12–14, 2008.
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1. In-situ damage localization for a wind turbine blade through outlier analysis of stochastic dynamic damage location vector-induced stress resultants;Structural Health Monitoring;2016-12-27
2. Wind turbine blade health monitoring with piezoceramic-based wireless sensor network;International Journal of Smart and Nano Materials;2013-09
3. Modular Subspace-based System Identification and Damage Detection on Large Structures;IABSE Symposium, Venice 2010: Large Structures and Infrastructures for Environmentally Constrained and Urbanised Areas;2010
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