Fault diagnosis method based on pump stroke frequency for reciprocating pump piston
Online fault monitoring is critical to ensure the high-quality operation of reciprocating drilling pumps.Firstly,an experiment was designed to explore the components of the vibration signals of the drilling pump by examining the easily worn parts of the hydraulic end of the BW-250 drilling pump.Then,the correlation between the amplitude of the pump delivery frequency and piston leakage faults was revealed by analyzing frequency components.Based on this mechanism,a method for detecting piston faults in drilling pumps using the pump delivery frequency amplitude as a diagnostic indicator was proposed.Furthermore,by integrating Maximum Correlated Kurtosis Deconvolution filtering and envelope spectrum analysis methods,the piston leakage fault was diagnosed from the perspective of energy changes at the pump delivery frequency.Finally,the method was validated using the data collected at laboratory and drilling field,and the diagnostic results were compared with other vibration indicators.The results show that the accuracy of this method for diagnosing piston faults in reciprocating pumps is 91.1%,an increase of 3.6%compared to the RMS index diagnostic accuracy and an increase of over 9%compared to impulse,margin and kurtosis index diagnostic accuracy.The method achieved good results,which provides a solution for fault diagnosis of reciprocating mechanical piston components.
reciprocating pumpvibration analysismaximum correlated kurtosis deconvolutionpiston fault diagnosispump stroke frequency
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