Civil Aviation Flight University of China

Optimization Method for Area Controller Scheduling Integrating Efficiency, Fatigue and Fairness

Abstract To address the problem that existing scheduling methods for area air traffic controllers cannot effectively coordinate and optimize operational efficiency, fatigue risk, and working time fairness, this paper proposes a collaborative optimization method based on the multi...

Thermal Aging of Aerospace Electro-Hydrostatic Actuator (EHA) Motor Insulation Systems

During the entire service cycle, the Electro-Hydrostatic Actuators (EHAs) are subjected to multi-physical stresses, including coupling effects, including high temperatures, severe temperature variation, and high-frequency pulses. These stresses not only act on the mechanical stru...

3D Path Planning for UAVs Based on an Improved DOA

Three-dimensional (3D) path planning for Unmanned Aerial Vehicles (UAVs) presents a challenging multi-objective optimization problem that necessitates a balanced trade-off among path length, flight safety, and trajectory smoothness, especially in complex environments such as moun...

Flight Data-Driven LSTM-Family Models for Resource-Aware Edge Deployment in Aerial Systems: A Review and Methodological Evaluation

Flight data-driven modeling has become an important approach for trajectory prediction, anomaly detection, and risk assessment in unmanned aerial vehicles and other aerial systems. Such data are usually high-dimensional, nonlinear, multirate, and non-stationary, especially during...

QAR Data-Driven Flight Anomaly Detection and Risk Warning: A Review of Statistical Learning and Machine Learning Methods in Aviation Safety

Quick Access Recorder (QAR) data provide high-dimensional onboard flight records that are increasingly used for data-driven aviation safety analysis. As flight operations become more complex, conventional manual monitoring and threshold-based exceedance detection are often insuff...