▓ Developed a method to detect anomalous flights using cluster analysis • Advantages ▓ Minimum prior knowledge of data required S Identify multiple nominal data patterns • Limitation ▓ Current transformation method is only applicable to flight phases start or end with a specific event ▓ Applied the proposed method on a dataset of B777 flights for takeoff phase and approach phase ▓ Initial evaluation indicates that cluster analysis is a promising approach for anomaly detection in FDR/QAR data
Anomaly detection in onboard-recorded flight data using cluster analysis
2011-10-01
941809 byte
Conference paper
Electronic Resource
English
Monitoring flight operations using flight recorded data
AIAA | 1989
|Anomaly detection electronic control unit, onboard network system, and anomaly detection method
European Patent Office | 2021
|ANOMALY DETECTION ELECTRONIC CONTROL UNIT, ONBOARD NETWORK SYSTEM, AND ANOMALY DETECTION METHOD
European Patent Office | 2019
|Flight test data mechanically recorded
Engineering Index Backfile | 1940
|