Scaleogram

Abstract: The invention relates to the field of vibration diagnostics of rotary equipment using systems and methods to process vibration signals and can be used for early detection of defects in industrial equipment that develop in the course of its operation, enabling timely maintenance and repair. The method for vibration diagnostics of rotary equipment to detect defects of rolling bearings by processing vibration signals is proposed, namely, the vibration signal received from the accelerometer installed on the equipment is subjected to wavelet transform using the basis function ψ(t)where the parameter k sets the decay rate of the exponent, and the parameter ω sets the dominant cyclic wavelet frequency; a matrix of wavelet coefficients is formed and a signal scalogram is built; and the dominant eigenfrequencies of the equipment containing shock processes are determined via searching for scaleogram maxima; sets of wavelet coefficients corresponding to the frequencies found on the scalogram are selected; an envelope is constructed for each selected set of wavelet coefficients using the Hilbert transform, that envelope yields the location of shock pulses in the temporal signal; Fourier transformation of the envelope of the set of wavelet coefficients is calculated to search for a set of frequencies of the bearings in the spectrum and a matrix is formed of the bearing frequencies thus found; comparing the totality of the bearing frequencies retrieved with their template, a conclusion is drawn about the technical state of the bearing.