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.
关键词
风电机组/偏航轴承/双树复小波包变换/谱幅值调制
Key words
wind turbine/yaw bearing/dual tree complex wavelet packet transform/spectral amplitude modulation
维普
万方数据