and/or data from the onboard avionics; determining the aircraft state at a point N on the basis of the received data; determining the state of the aircraft at the point N+1 on the basis of the state of the aircraft at point N by applying a model learnt by means of machine learning....
Increasing computing capacity is not enough, and innovation in algorithms is needed to solve the growing problems. In practice, the planning processes begin with the construction of the flight schedule, a list of flights to be operated in a period of time. Then, aircraft are allocated to the ...
To improve the prediction accuracy of aircraft landing time, we propose a machine learning method to establish an approach time prediction model. Based on the actual operational situation, the primary reasons for different flying time in approach control
Machine learning and deep learning tools can be applied to a wide variety of drone and robotics applications. A common usage is to provide UAVs (unmanned aerial vehicles) with smoother flight control, allowing the aircraft to choose movements that result in the desired outcomes and thus cutting ...
“After tornadoes, hurricanes or earthquakes, C-130s quickly bring emergency supplies and aid. They can operate in the most austere conditions, landing in fields or on damaged runways.” Isbill’s team uses data and machine learning to make Lockheed Martin’s aircraft as reliable and cost-...
例子Anomaly detectionsupervised learning Fraud detection Email spam classification Manufacturing (e.g. aircraft engines) Weather prediction (sunny/raint/est). Monitoring machines in a data center Cancer classification总结:正例足够多就用监督学习,不够就用错误检测。
GE Aviation employs machine learning in aircraft manufacturing (GE Research, 2023). The AI-powered analytics tools are used for predictive maintenance and performance optimization of its jet engines. GE Aviation is also using machine learning to improve the efficiency of its jet engine production ...
A real-time wind velocity vector and parameters estimation and wind model identification approach using a machine learning technique is addressed in this paper. The proposed method uses only the state measurements of an aircraft and does not require control commands, air data systems, or satellite-...
Machine Learning Cummings studies the way people and machines work together.COURTESY MISSY CUMMINGS Missy Cummings was one of the Navy’s first female fighter pilots. She did it from 1988 to 1999. “I knew many people who died in aircraft accidents,” she told TIME for Kids. “Always ...
learning (ML) methods. Due to its great capability to deal with big data and complexity, as well as its speedy and high-accuracy processing, the ML framework has been used to improve existing technologies and control techniques. In this context, its adoption in several UAV navigation strategies...