• 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