The present disclosure relates to a system and method for detecting an aircraft energy anomaly using an artificial neural network learning model. A system for detecting an aircraft energy anomaly using an artificial neural network learning model according to the present disclosure includes an input interface device for receiving ADS-B (Automatic Dependent Surveillance-Broadcast) data, a memory storing a program which generates a specific energy feature for energy state analysis by extending the ADS-B data through a preprocessing, and a processor for executing the program, wherein the processor generates an energy distribution model by the use of the specific energy feature, and performs artificial neural network-based energy anomaly learning.
SYSTEM AND METHOD FOR DETECTING AIRCRAFT ENERGY ANOMALY USING NEURAL NETWORK MODEL
2024-03-28
Patent
Elektronische Ressource
Englisch
SYSTEM AND METHOD FOR DETECTING AVIATION ENERGY ANOMALY USING NEURAL NETWORK MODEL
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