The Detection of Defects in Rolling Bearings Based on the Analysis of Vibroacoustic Signal

Abstract

In article the approach to identification of defects roller bearings used in the various parts and components of mining machinery and equipment based on the wavelet transform of the vibro-acoustic signals generated by the various defects arising in the supporting elements of power transmission, transforming and actuators mining equipment. Classification of existing methods of diagnostics of technical condition of rolling bearings is resulted. Advantages and disadvantages of these methods are considered. The model of formation of shock pulses in the event of defects is constructed and the possibility of using wavelet transforms for recognizing the technical state is shown. An example of diagnostics of rolling bearings of the gearbox RKC-400 is considered.