Research on aeroengine lubricating oil metal element concentration prediction and its control

The metal element concentration of the aeroengine lubricating oil is influenced by many complicated factors and its change tendency is difficult to be predicted. To solve this problem, an aeroengine lubricating oil metal element concentration prediction method based on the Elman process neural network was proposed, a corresponding learning algorithm was developed, and the prediction results are satisfying. According to the prediction results, the cause that the aeroengine lubricating oil metal element concentration exceeds the standard was analyzed, and the corresponding control strategy was given to guarantee the flight safety and cut down the maintenance cost.