AUTOMATIC DIAGNOSTICS OF CARGO PUMP BEARINGS USING WAVELET PACKET CONVERSION AND COMPUTER SIMULATION
Abstract and keywords
Abstract (English):
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

Keywords:
wavelet, wavelet-batch transformation, cargo pump, bearing, modeling, curve
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References

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