Association Rule-Based Data Collection Method for Vibration Faults of Large-Scale Oilfield Machine and Pump Equipment
In order to obtain complete vibration fault data under different working conditions,an association rule-based vibration fault data acquisition method for large oilfield pumping equipment is designed.We extract the characteristics of vibration fault data of large mechanical pump equipment,set the warning value and alarm value in the data standard threshold,and obtain the full frequency domain information of the fault data;optimize the integrity of vibration fault data acquisition based on the correlation rule method,and ensure the integrity of the data through the three steps of decomposition,sorting,and updating while dealing with the noise;and introduce the successive acquisition algorithm to determine the fault threshold of vibration data to optimize the completion of the vibration fault data acquisition of large mechanical pump equipment of the oilfield.The vibration fault data acquisition of large oilfield pumps and machines is optimised.Experiments show that the data acquisition method can effectively obtain complete fault data of gyratory vibration and longitudinal vibration of the pump equipment under six working conditions,which is practically feasible.
association rulesoilfield large pump equipmentvibration fault datadata acquisitiondata feature extraction
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