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Title:

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

Document type:
Konferenzbeitrag
Author(s):
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...     »
Book / Congress title:
Probabilistic Safety Assessment and Management 14
Year:
2018
Covered by:
Scopus; Web of Science
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