Anomaly Detection in General-Aviation Operations Using Energy Metrics and Flight-Data Records
Author(s) -
Tejas G. Puranik,
Dimitri N. Mavris
Publication year - 2017
Publication title -
journal of aerospace information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 33
ISSN - 2327-3097
DOI - 10.2514/1.i010582
Subject(s) - anomaly detection , aviation , aviation safety , computer science , fault detection and isolation , data mining , data set , cluster analysis , engineering , artificial intelligence , aerospace engineering , actuator
Among the operations in the general-aviation community, one of the most important objectives is to improve safety across all flight regimes. Flight-data-monitoring or flight-operations-quality-assu...
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