Extracting diagnostic parameters of aero-engine performance is an essential approach to enhance the validity and the reliability of aero-engine fault recognition.In view of fuzzy and consecutive characteristics of aero-engine fault parameters

an extracting algorithm based on fuzzy-rough sets was put forward and the algorithm was used for fault recognition of one aero-engine.The research result shows that the core attributes of reductions are diagnostic parameters of aero-engine failure

whereby the algorithm ensures high precision of fault diagnosis.The anti-interference ability of the algorithm enhances the validity of fault recognition.The algorithm can be also used for fault classification

fault diagnosis and performance monitoring of aero-engine.