DocumentCode :
3746615
Title :
Damage detection of wind turbine blade based on wavelet analysis
Author :
Qian Zhao;Wei Li;Yichuan Shao;Xingjia Yao;Haonan Tian;Jing Zhang
Author_Institution :
School of Electrical Engineering, Shenyang University of Technology, Shenyang, China
fYear :
2015
Firstpage :
1406
Lastpage :
1410
Abstract :
The basic theory and algorithm of wavelet analysis and support vector machine (SVM) were introduced. The feature vector of the fault vibration signal of the blade in wind turbine was extracted by wavelet analysis, the feature vector was identified by SVM method further, and finally, the crack damage of the blade was judged. The results show that this method has a good effect on identification of the blade crack damage in wind turbine.
Keywords :
"Blades","Wind turbines","Acoustic emission","Wavelet transforms","Support vector machines","Time-frequency analysis","Vibrations"
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2015 8th International Congress on
Type :
conf
DOI :
10.1109/CISP.2015.7408103
Filename :
7408103
Link To Document :
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