WIND TURBINE BLADE DAMAGE IDENTIFICATION BASED ON HARMONIC WAVELET PACKET AND SUPPORT VECTOR MACHINE

In order to solve the wind turbine blade damage type identification problem,a new approach for acoustic emission(AE) source type identification based on harmonic wavelet packet(HWP) and support vector machine is proposed.The type of blade damage was distinguished by SVM which was built by using the energy as the feature vectors for the support vector machine classifier,where the energy was extracted in different frequency bands from the acoustic emission generated by the blades after a four-level decomposition of HWP.In recognition of the blade for damage,the AE signals were decomposed using harmonic wavelet packet and daubechies wavelet packet and compared with each other.The results show that good recognition results could be obtained using HWP and SVM combined method.