Mine gearbox fault diagnosis based on wavelet and bispectrum

Aiming at the non-stationary and non-gauss characteristics of vibration signal resulted from mine gearbox,a fault diagnosis method based on wavelet and bispectrum was proposed.In order to improve frequency resolution and signal-to-noise ratio(SNR),the vibration signal of mine gearbox can be decomposed into some frequency bands,which have different feature frequency respectively.For achieving effective fault diagnosis of gearbox,frequency band signal with typical fault characteristic was selected for reconstruction,and then for analysis with bispectrum.The result of diagnosis example shows that wavelet and bispectrum analysis is an effective method for gearbox fault diagnosis,and it still demonstrates the unstable and non-linear coupling characteristics of gearbox vibration signal.