Considerations in assuring safety of increasingly autonomous systems

EE Alves, D Bhatt, B Hall, K Driscoll, A Murugesan… - 2018 - ntrs.nasa.gov
Recent technological advances have accelerated the development and application of
increasingly autonomous (IA) systems in civil and military aviation. IA systems can provide …

Multiclass multiple-instance learning for predicting precursors to aviation safety events

MH Bleu Laine, TG Puranik, DN Mavris… - Journal of Aerospace …, 2022 - arc.aiaa.org
In recent years, there has been a rapid growth in applying machine learning techniques that
leverage aviation data collected from commercial airline operations to improve safety …

Framework for Offline Data-Driven Aircraft Fault Diagnosis

A Dahleni Kraemer, E Villani - Journal of Aerospace Information …, 2024 - arc.aiaa.org
This paper proposes a framework for aircraft fault diagnosis based on the offline analysis of
flight data. It overcomes the limitations of current data-driven approaches by combining …

航空大数据研究综述.

赵学武, 吴宁, 王军, 阮利, 李玲玲… - Journal of Frontiers of …, 2021 - search.ebscohost.com
大数据伴随着物联网, 云计算和人工智能等技术的发展成为目前的研究热点,
并在许多领域得到了应用. 蓬勃发展的航空领域具备天然的大数据土壤, 受到人们越来越高的 …

Real-time mitigation of loss of separation events using reinforcement learning

M Hawley, R Bharadwaj… - 2019 IEEE/AIAA 38th …, 2019 - ieeexplore.ieee.org
With the projected increase of manned and unmanned air traffic in the National Airspace
(NAS), an uptick in airspace congestion and the risk of mid-air collisions is inevitable …

On the gap between aircraft FDI methods in industry and academy: challenges and directions

A Dahleni Kraemer, E Villani - AIAA Scitech 2019 Forum, 2019 - arc.aiaa.org
Aviation system is one of the most complex dynamical systems [1]. The growing complexity
of aircraft equipment and systems is increasing the number of failure modes that can occur …

Machine learning FDI approach to aircraft failures using SIVOR simulator

A Dahleni Kraemer, E Villani - AIAA Scitech 2019 Forum, 2019 - arc.aiaa.org
Aircraft dynamics are in general nonlinear, time varying, and uncertain [1]. Considering the
diversity of factors involved in a flight (aircraft subsystems anomalies, external hazards, pilot …

[引用][C] Clustering aircraft trajectories on the airport surface

AM Churchill, M Bloem - Proceedings of the 13th USA/Europe Air Traffic …, 2019