Availability Assessment of Mounting Groups of Mining Machines

Abstract

The classification of the methods available for diagnostic of mining machinery mounting groups with roller bearings is considered with indicated advantages and disadvantages. The model is constructed to describe formation of shock pulses in roller bearings when different defects are generated in them. This model is suitable for the availability monitoring of the machinery mounting groups. The applicability of wavelet transforms instead of the standard fast Fourier transform to random processes and vibro-acoustic signals is tested for the detection of defects in manufacture and operation of mining machines.