Aiming at the degradationcaused gradual changing fault diagnosis of aeroengine, this paper proposed a diagnosis model based on the canonical time warping (CTW) algorithm, which can discriminate the fault pattern based on the transition features from degradation data via mining the transition information of degradation. We conducted the proposed model on both simulated data and real data. The experimental results show that the proposed model can recognize the normal state and fault state and locate the gradual changing fault in component level, whoseG－meanvalue is 0.948 7 in the premise that the flight cycle interval is 1 or 2. The proposed model provides a feasible engineering method for civil aviation aeroengine health management, and has good robustness and high accuracy.