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....
Machine Learning (ML) is revolutionizing many technological fields, but its use in aviation remains restricted due to stringent certification requirements. Efforts by the aviation community to establish standards for certifying ML-based systems are progressing, yet challenges persist, particularly with safet...
Yijing Z, Zheng Z, Xiaoyi Z, Yang L. Q learning algorithm based UAV path learning and obstacle avoidence approach. In: 2017 36th Chinese Control Conference (CCC). IEEE; 2017. p. 3397–402. Yavanoglu O, Aydos M. A review on cyber security datasets for machine learning algorithms. In:...
So, machine learning not only helps increase the lifetime of aircraft parts, but also anticipates breakdowns and reduces operation interruptions. This technology is applied in three areas of manufacturing processes: sizing, production and operation monitoring. ...
Karen Willcox, director of the Oden Institute for Computational Engineering and Sciences at the University of Texas, Austin discusses an emerging field of computing that could revolutionize how aircraft are designed. While artificial intelligence and machine learning offer effici...
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 ...
“By knowing everything happening on the aircraft when a failure occurs, we can build stronger anomaly detection algorithms withSAS Viya,” Isbill says. “The machine learning and AI algorithms help us see into the future — to see when things start to degrade. We can say with better accura...
3]Aircraft Engines Remaining Useful Life Prediction with an Improved Online Sequential Extreme Learning...
In Section 4, we set up a test scenario to demonstrate the prediction capabilities of our machine learning approach. We choose the random boarding (passengers have pre-assigned seats and enter the aircraft unconstrained, with no specific order) as a common boarding process and the individual ...
Machine learningPredictionAnalytical redundancyAir data inertial reference system (ADIRS) parameters are very important for the safe flight of an aircraft. The ADIRS consists of air data inertial reference units (ADIRUs) and the air data reference (ADR) part of the ADIRU, which provides the air ...