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Titel:

Identification of Safety Critical Scenarios for Airlines using Machine Learning in Filter Trees​

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Höhndorf, Lukas; Holzapfel, Florian
Abstract:
During flight, civil aircraft record data that are analyzed within Flight Data Monitoring (FDM) activities of an airline. Based on the characteristics of the operation and network, the flights can be filtered according to aircraft types, departure and arrival airports, and runways. The considered criteria that describe a set of flights are called a filter. When several filters are considered, they often can be arranged according to their hierarchical structure in a filter tree. Subse...     »
Kongress- / Buchtitel:
Probabilistic Safety Assessment and Management 14
Jahr:
2018
Nachgewiesen in:
Scopus; Web of Science
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