A review of ML for aerospace systems health management | AISC
For slides and more information on the paper, visit https://ai.science/e/a-review-of-ml-for-aerospace-systems-health-management--9eda089bb72be
Speaker: Ashwin Rai;
Host: Ginelle Johnston
Motivation:
This talk will focus on state-of-the-art data-driven techniques for aerospace systems health monitoring and management. With ever increasing global air traffic, maintaining and improving aviation safety standards can be a challenge. Current labor intensive practices may not be sustainable, especially with the added complexity of drones and micro air vehicles sharing airspace with commercial air traffic in the very near future. One possible solution that this review will explore is automating and optimizing health management tasks of aerospace vehicles using machine learning and moving towards a predictive model for maintenance and safe airspace operations.