The methods that identify complex flight maneuvers from multi-sensor flight parameter data and conduct automated quantitative evaluations of anomaly levels could play an important role in enhancing flight safety and pilot training. However, existing methods focus on anomaly detection at individual flight parameter data points, making it challenging to accurately quantify the overall abnormality of a flight maneuver. To address this issue, this paper proposes a novel method for the quantitative evaluation of anomaly levels in complex flight maneuvers by fusing multi-sensor data. The proposed method comprises two stages: complex flight maneuver recognition and anomaly level quantification. In... More >