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