|
|
|
|
|
Juseong Lee, Mihaela Mitici, Henk A. P. Blom, Pierre Bieber and Floris Freeman
The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to data-driven predictive maintenance for aircraft. This paper discusses emerging challenges for data-driven predictive aircraft maintenance. We i...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eri Itoh, Mihaela Mitici and Michael Schultz
Reducing the length of departure queues at runway entry points is one of the most important requirements for reducing aircraft traffic congestion and fuel consumption at airports. This study designs an aircraft departure model at a runway using a time-va...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mihaela Mitici and Ingeborg de Pater
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from cluster...
ver más
|
|
|
|
|
|
|
|
|
|
|
Micha Zoutendijk and Mihaela Mitici
The problem of flight delay prediction is approached most often by predicting a delay class or value. However, the aviation industry can benefit greatly from probabilistic delay predictions on an individual flight basis, as these give insight into the un...
ver más
|
|
|
|
|
|
|
|
|
|
|
Eri Itoh and Mihaela Mitici
This paper proposes data-driven queuing models and solutions to reduce arrival time delays originating from aircraft arrival processing bottlenecks at Tokyo International Airport. A data-driven analysis was conducted using two years of radar tracks and f...
ver más
|
|
|
|
|
|