Research on Aircraft Engine Lubricating Oil Flow Fault Diagnosis and Prediction Method Based on CNN-BiLSTM
The aircraft engine lubrication system provides lubricating oil for the entire engine's transmission system,bearing gears,and other components.It is an important system that ensures the normal operation of the aircraft engine.Therefore,accurate prediction of the aircraft engine lubricating oil quantity is of significant im-portance for ensuring flight safety.In order to improve prediction accuracy,a prediction model for aircraft engine lubricating oil flow based on CNN-BiLSTM is proposed,which can capture both spatial features and temporal re-lationships in the data.Verified with QAR data from a certain airline,the results are compared with CNN and LSTM models.The accuracy of left engine prediction has increased by 2.43%and 7.85%,and the accuracy of right engine prediction has increased by 7.97%and 10.82%.This proves the effectiveness of the proposed meth-od in this study and provides a new solution for predicting aircraft engine lubricating oil flow.
NETL
NSTL
万方数据
维普
