基于格兰杰因果关系的往复泵液阀故障预警方法研究OA

To tackle the challenges of low accuracy and poor real-time performance in early warning of liquid valve faults in recip-rocating pumps,a novel method based on Granger causality analysis was proposed.Initially,vibration signals collected under nor-mal operating conditions were processed in the angle domain for feature extraction,and a feature matrix was constructed accord-ingly.This matrix was partitioned into reference data and training data.Granger causality tests were applied to the reference data to derive a baseline causality matrix.Subsequently,a sliding window with an appropriate size and step was applied to the training data to perform Granger causality analysis,resulting in a series of causality matrices.These matrices were compared with the base-line to calculate differences,and the maximum difference was selected as the fault detection threshold.During real-time monito-ring,a causality matrix was continuously computed and compared against the baseline;if the computed difference exceeds the threshold,an early warning for a potential liquid valve fault was implemented.Finally,comparative experiments were conducted on a reciprocating pump test platform using the proposed method,as well as LSTM,MSET,and DBN models.Experimental results demonstrate that the proposed method improves early warning accuracy by 7.34％,3.67％,and 9.34％compared to LSTM,MSET,and DBN,respectively,while achieving reductions in response time of 18.27 s,2.86 s,10.38 s.