Fault feature identification for rotor nonstationary signals based on VMD-HT
The Hilbert-Huang transform(HHT)is a most representative time-frequency analysis method.To improve the time-frequency analysis performance of the traditional HHT in processing complex nonstationary sig-nals,herein,variational mode decomposition(VMD)and Hilbert transform(HT)are combined to form a new time-frequency analysis method of VMD-HT.Moreover,to automatically tune the parameter of the mode number in VMD,a parameter optimization method based on the correlation coefficient is proposed,which effectively solves the problems of insufficient decomposition and excessive decomposition of signals due to the unreasonable setting of the mode number of VMD.The time-frequency analysis performance of VMD-HT is validated using rotor fault signals,and comparisons with the traditional HHT highlight the advantages of this method in processing nonstationary signals.
国家科技期刊平台
NSTL
万方数据
维普
