A Modeling Method for High Compressor Rotor Speed(N2)Baseline of the Aero-Engine

For achieving real-time monitoring for the aero-engine during cruise phase, it promptly catches abnormal shift of aero-engine N2 parameters and improves flight safety level,and proposed a calculation method of the N2 baseline for the N2 shift value further and then implements real-time performance monitoring for aero-engine. According to given data screening rules and pre-processing methods,builts the model sample. Designes the multi-input and single-output RBF neural network with the Gaussian function selected as hidden layer transfer function and the Linear function selected as ouput layer transfer function,and input nodes are confirmed by Pearson correlation analysis. The predicted baseline is gotten by this mode. Finally,does two-sample matched-pairs nonparametric tests for observed values and predictes values to verify network accuracy. The results indicate that this method is an effective approach for calculating the N2 baseline of the aero-engine during cruise.