Rotating machinery fault diagnosis method based on multi-waveletorder ratio bispectrum analysis

The invention discloses a rotating machinery fault diagnosis method based on multi-waveletorder ratio bispectrum analysis, comprising: step 1, inputting original signals to a pyramid algorithm formulti-wavelet transformation; step 2, according to a signal analysis theory, seeking an element function combination maximizing decomposed signal energy; step 3, maximizing the total energy of all elementfunction signals via a connection algorithm, and then solving rotating speed signals; step 4, performing equal-angle re-sampling on the rotating speed signals, and performing bispectrum analysis of the re-sampled signals to obtain order ratio spectra of vibrating signals; and step 5, analyzing the order ratio spectra of the vibrating signals, and performing fault diagnosis of rotating machinery based on the vibrating signals. The method improves the accuracy of fault diagnosis, does not need to install such hardware as an angle coding disc, a tracking filter, a rotating speed meter and the like, and reduces the depen