Application of Correlation Analysis in the Stress Signals of the Aero-Engine Elastic Supporter

A fault diagnosis method for rotor system of small and medium aero-engine is presented. In this method, a strain gauge is attached to the elastic support of the rotor system to obtain the dynamic stress signal of the elastic support in the working process. Combined with the respective advantages of EMD and PAC, the dynamic stress of the elastic support is firstly decomposed by EMD, and PCA is used to obtain the IMF principal component, and then the noise evaluation criteria is established by the correlation coefficient to eliminate the interfering principal component. Finally, the remaining principal component is reconstructed and the noise reduction signal is obtained. Practical application shows that this method can diagnose rotor system faults effectively.