Fault diagnosis method for quadrotor UAV based on ResCNN-LSTM-attention
Experimental results on typical UAV fault diagnosis tasks, including motor, gyroscope, and magnetometer faults, demonstrate that the proposed method achieves superior diagnostic accuracy over existing state-of-the-art approaches while maintaining a compact architecture suitable for real-time onboard deployment.