Rubbing faults of different radial rubbing positions by using the rotor experiment rig of aero-engine are simulated.An identification method based on wavelet packet analysis and support vector machine(SVM) was proposed.Firstly

the acceleration signals on the casing were collected.Secondly

the signals were decomposed by wavelet packet analysis

and the normalized energy features were extracted.Finally

the normalized energy characteristics were input into support vector machine to identify the different rubbing positions.By using an aero-engine rotor experiment rig

a large number of samples including different rubbing positions and different rubbing degrees were simulated

and the support vector machine was trained and tested by these samples.The results show that the new method combining the wavelet packet energy features and support vector machine can effectively identify the rotor-stator rubbing positions of aero-engine;in addition

only one sensor is required to reach the recognition rate of 98%.