Flight Anomaly Detection via a Deep Hybrid Model

Flight Anomaly Detection via a Deep Hybrid Model

In the civil aviation industry, security risk management has shifted from post-accident investigations and analyses to pre-accident warnings in an attempt to reduce flight risks by identifying currently untracked flight events and their trends and effectively preventing risks before they occur. The...

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Bibliographic Details
Main Authors: Kun Qin, Qixin Wang, Binbin Lu, Huabo Sun, Ping Shu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Aerospace
Subjects:
flight anomaly detection
time-feature attention
convolutional autoencoder
HDBSCAN clustering algorithm
deep hybrid model
Online Access:https://www.mdpi.com/2226-4310/9/6/329

Internet

https://www.mdpi.com/2226-4310/9/6/329

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