Damage Identification of Wind Turbine Yaw Bearing Based on Enhanced Dual Tree Complex Wavelet Packet Transform
Aiming at the problem of yaw bearing wind turbine damage identification,a damage identifica-tion method based on enhanced dual tree complex wavelet packet transform was proposed.Firstly,to de-termine the number of optimal decomposition layers,components average L-kurtosis values of different de-composition layers were calculated by combining dual tree complex wavelet packet transform and L-kurto-sis.Secondly,wavelet coefficient and scale coefficient obtained by the optimal decomposition were modula-ted to enhance the energy of different signal components.Thirdly,the optimum modulation coefficients of each component were determined by dispersion entropy index,and the modified signal was obtained by in-version dual tree complex wavelet packet.Finally,the normalized square envelope spectrum of modified signal was used to extract the damage characteristic frequency.Results show that the proposed method can accurately identify the damage type of yaw bearing under complex working conditions,and has certain en-gineering reference value.
wind turbineyaw bearingdual tree complex wavelet packet transformspectral amplitude modulation
万方数据
维普
