Research Of Fault Diagnosis Methods Based On Wavelet Domain Bispectrum

This article describes the basic theory of wavelet and wavelet analysis in signal analysis of the failure of specific applications, studied the wavelet threshold de-noising method. Elaborated the bispectrum definition, the nature, the algorithm and the physics significance, in-depth studied the bispectrum analysis in signal processing and state monitoring. For the bispectrum analysis can not suppress non-Gaussian noise as well as the shortcomings of the wavelet threshold de-noising law is no uniform standard threshold selection of insufficient, use of multi-resolution decomposition of wavelet packet technology with the bispectrum union ,given the wavelet domain bispectrum analysis method, which not only can effectively suppress noise and other components of high-frequency interference, reflect the characteristics of the fault, but also avoid wavelet noise threshold shortcomings.