Anomaly Monitoring of Filling Pump Based on Grey Correlation Degree Trend Analysis
The filling pump is a key equipment of the space launch site,and its anomaly monitoring is crucial for the successful completion of the space launch mission.Based on the trend analysis method of grey correlation degree,a deviation index model of grey correlation degree for filling pumps is established for the anomaly monitoring of the filling pumps.This model uses the regression fitting method to establish a grey correlation degree standard data sequence,which solves the problem of insufficient representativeness and large errors in the standard data sequence caused by the small number of samples and large data fluctuations in the transitional working conditions of the filling pump.By examining the cumulative effect of grey correlation degree deviation intensity,a grey correlation degree deviation index is established to solve the problem of high misdiagnosis rate caused by large fluctuations in the state parameters of the filling pump.The specific construction and application steps of the model are explained taking the conventional propellant filling pump at the space launch site as the object.The application results indicate that the improved model can improve the accuracy of anomaly monitoring and effectively reduce the rate of false positives,providing important scientific criteria for the anomaly monitoring of filling pumps.
NETL
NSTL
万方数据
