Extracting algorithm for diagnostic parameters of aero-engine based on fuzzy-rough sets

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.