Unstable Approach Detection and Analysis Based on Energy Management and a Deep Neural Network
The study of managing risk in aviation is the key to improving flight safety. Compared to the other flight operation phases, the approach and landing phases are more critical and dangerous. This study aims to detect and analyze unstable approaches in Taiwan through historical flight data. In additio...
Main Authors: | Tzu-Ying Chiu, Ying-Chih Lai |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Aerospace |
Subjects: | |
Online Access: | https://www.mdpi.com/2226-4310/10/6/565 |
Similar Items
-
Flight Anomaly Detection via a Deep Hybrid Model
by: Kun Qin, et al.
Published: (2022-06-01) -
Trajectory Clustering within the Terminal Airspace Utilizing a Weighted Distance Function
by: Samantha J. Corrado, et al.
Published: (2020-12-01) -
Interpretable tracking and detection of unstable approaches using tunnel Gaussian process
by: Goh, Sim Kuan, et al.
Published: (2023) -
Event Detection and Spatio-temporal Analysis of Low-Altitude Unstable Approach
by: Huabo Sun, et al.
Published: (2020-07-01) -
Output Error Method for Tiltrotor Unstable in Hover
by: Lichota Piotr, et al.
Published: (2017-03-01)