AUTOMATIC DIAGNOSTICS OF CARGO PUMP BEARINGS USING WAVELET PACKET CONVERSION AND COMPUTER SIMULATION

Abstract

The article presents research, theoretical foundations, materials and diagnostic methods using the wavelet method. At peak loads, transient modes or frequent operation o f the cargo pump, the degradation o f pump components and especially bearings increases. Such modes (especially the first two) o f operation increase the mechanical vibration o f rolling bearings, which can lead to their premature destruction. The readings are taken during the pump start and filtered by the average value, converting it into a wavelet packet. Filtered series are used to estimate the relationship between the maximum displacement o f the curve and accumulated operating time. The evaluation equation associated with vibration standards sets the time spent in a state o f degradation and simulates the process o f equipment wear taking into account the sequence o f maximum displacements o f the curves