Study of Gearbox Fault Diagnosis Based on Wavelet Decompostion Adaptive ELMD

Based on local mean decomposition (LMD) method in the process of decomposition of gearbox vibration signal of modal aliasing phenomenon, put forward a kind of based on adaptive wavelet decomposition ELMD gearbox fault diagnosis methods. First to Gaussian white noise signal mixed in the vibration signal, and then to LMD signal decomposed product function (PF) component, and has carried on the spectrum of PF component analysis, analog signal decomposition and processing results demonstrate the effectiveness of the method. The standard deviation ratio of white noise is determined by using the adaptive criterion based on wavelet decomposition. Finally using adaptive wavelet decomposition based ensemble local mean decomposition (ELMD) method for gear tooth surface wear and fracture failure of the vibration signal of cage, the PF decomposition, and the decomposition of PF component zoom spectrum analysis, the gear box fault diagnosis, the diagnosis of achieved good results.