Sun Gear Fault Detection Via Adaptive MOMEDA Based on Encoder Signal
Aiming at the problem of sun gear fault detection of conventional electromechanical equipment plan-etary reducer,a sun gear fault detection method based on improved adaptive multipoint optimal minimum en-tropy deconvolution adjusted(MOMEDA)is proposed.Firstly,based on the advantages of short transmission path and direct correlation with dynamics of the encoder signal,the fault characteristic period is calculated by the parameters of the transmission system,and the search period and step size of the fault can be determined.Sec-ondly,the optimal filter length can be adaptively determined by the principle of spectral negentropy maximiza-tion,and the deconvolution is obtained.Finally,the envelope spectrum analysis is used to reveal the characteris-tics of the sun gear root crack.The effectiveness of the proposed scheme is verified by simulations and experi-ments.
NETL
NSTL
万方数据
