Optimal statistical damage detection and classification in an experimental wind turbine blade using minimum instrumentation

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19/04/2017
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Hoell , S & Omenzetter , P 2017 , Optimal statistical damage detection and classification in an experimental wind turbine blade using minimum instrumentation . in N G Meyendorf (ed.) , Smart Materials and Nondestructive Evaluation for Energy Systems 2017 . vol. 10171 , 101710D , SPIE , Smart Materials and Nondestructive Evaluation for Energy Systems 2017 , Portland , United States , 27/03/17 . https://doi.org/10.1117/12.2257228
 
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http://hdl.handle.net/2164/9287
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https://doi.org/10.1117/12.2257228
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Copyright 2017 Society of Photo-Optical Instrumentation Engineers (SPIE). One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
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