METHOD OF VIBRATION DIAGNOSTICS OF ROLLING BEARINGS Russian patent published in 2020 - IPC G01M7/02 G01M13/04 

FIELD: physics.

SUBSTANCE: invention relates to the field of metrology. Method of vibration diagnostics of rolling bearing consists in the fact that by means of accelerometer installed on diagnosed bearing vibration signal is obtained, band-pass filtering of vibration signal is performed and its envelope is obtained, calculating Fourier spectrum of vibration envelope, from spectrum envelope vibration signal is selected all frequency components, amplitude of which exceeds spectral noise level by at least 1 dB, calculated or selected from reference literature values of main bearing frequencies. At that, from the set of main dimensional parameters of the bearing the first dimensional parameter is selected and its value is varied relative to the nominal value in the range at fixed nominal values of the remaining dimensional parameters and for each deviation value of variable dimensional parameter p₁ values of main bearing frequencies are calculated. Based on the values of main bearing frequencies, spectral patterns are formed for all possible bearing defects as certain configurations of harmonics and subharmonics of bearing frequencies and a common diagnostic model of the bearing is formed as a set of obtained patterns. Number and total amplitude of frequency components in the envelope spectrum of the vibration corresponding to the model are calculated to calculate the validity of the diagnostic model. In the same way, the value of the overall parameter p₁ is varied for the second dimensional parameter different from the nominal value and the fixed nominal values of the remaining dimensional parameters and a two-dimensional value of the reliability of the diagnostic model is formed. Similar procedure is cyclically repeated for all varied dimensional parameters of the bearing, as a result of which a multidimensional value of reliability of the diagnostic model is formed, by the maximum of which optimal values of deviations of variable dimensional parameters of the bearing are found, values of the main bearing frequencies are corrected and an updated diagnostic model is formed. Conclusion on presence of defects of bearing and their intensity is made on the basis of similarity of set of frequency components found in spectrum of signal frequency signal with spectral patterns of defects of specified diagnostics model.

EFFECT: improving the accuracy of diagnosis.

3 cl, 9 dwg