Research On Fault Feature Extraction Method Of Gears In Hybrid Gear Train

The mixed gear train is mainly composed of the fixed axle wheel system and the planetary gear train.It is widely used in the transmission system of the shearer's rocker arm,the wind power gear box and some automobile gearboxes.Compared with the ordinary fixed axis wheel system,the complex structure of the hybrid wheel leads to more complex vibration characteristics,and its vibration signals have both the vibration characteristics of the fixed axis wheel system and the vibration characteristics of the planetary gear train,so the fault feature extraction of the mixed gear box gear box is difficult.The vibration signal of the hybrid gear box is more complex and its vibration signal is mostly in the low frequency part of the signal.The fault characteristics are often easily disturbed by the noise,and the vibration signal is modulated seriously.As the main failure parts in the gear box of mixed gear gear,it is necessary to focus on the research.Therefore,it is very important to study the fault feature extraction method of the accurate and effective hybrid gear gear.According to thestructural characteristics of the hybrid gear train,the vibration characteristics and fault characteristics are analyzed,and the fault feature extraction method of the gear box of the hybrid gear train is further studied.According to the research results of the vibration characteristics and fault characteristics of the fixed axis wheel system and the planetary gear train,the vibration characteristics and fault characteristics of the mixed gear train gear are analyzed with the combination of the structure characteristics and experimental data of the mixed gear train,which lays the foundation for the fault feature extraction and fault recognition of the mixed gear train.The typical fault extraction method in the gearbox is applied to the fault feature extraction of the gear of the mixed gear train.The time domain analysis method,frequency domain analysis method,and time frequency analysis method are analyzed in many aspects.The time-frequency analysis method is mainly based on the wavelet analysis and Hilbert-Huang emphasis,and analyzes its in mixed gear gear gear.The advantages and disadvantages of the fault feature extraction.In view of the problem that the vibration signals of the mixed wheel system are easily disturbed by noise,complex signal characteristics and serious modulation,the fault feature extraction method of mixed gear gear based on the wavelet adjacent coefficient and the Hilbert envelope demodulation is proposed,which is used to extract the mixed wheel with the noise interference.Fault characteristics of gear.In order to verify the effectiveness of the method,a set ofmodulation signals are set up based on the vibration characteristics of the hybrid gear box,and the fault features of the mixed gear gear based on the wavelet adjacent coefficient denoising and Hilbert envelope analysis are extracted from the simulation signal of Gauss white noise.The simulation results show that the method can be used in this method.It can extract the fault characteristic frequency affected by the noise.This method is applied to the fault diagnosis experiment of the solar wheel of the planetary gearbox.The fault feature extraction experiment is carried out on the vibration signals of three kinds of faults such as normal,spur gear and solar wheel broken teeth,and the fault characteristic frequency is extracted accurately.The experimental results show that this method can effectively improve the gear of the mixed gear train.The accuracy of fault feature extraction.In order to further improve the noise reduction effect of the signal,a clearer spectrum and envelope spectrum are obtained,and the adjacent coefficients of the wavelet are introduced into the multiwavelet transform to get the adjacent coefficient denoising method of the translation invariant multi wavelets,and a hybrid wheel gear tooth based on the adjacent coefficients of the EEMD and the translational invariant multi wavelets is proposed by combining it with the EEMD decomposition.The method of fault feature extraction for wheel.Compared with the adjacent coefficients of the wavelet adjacent coefficients and the adjacent coefficients of the shift invariant multi wavelets in the simulation signal analysis,the results show that the method has a better noise reductioneffect,and the vibration characteristics of the gears in the mixed gear gear can be retained more effectively while reducing the noise.The experimental results show that the method can effectively and accurately extract the vibration characteristic frequency of the mixed gear gear box under different operating conditions,and successfully identify the normal gear gear box gear,the wear of the sun wheel,and the different fault conditions of the sun wheel and the spur gear wear and tear.