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Document type:
Konferenzbeitrag 
Author(s):
Höhndorf, Lukas; Holzapfel, Florian 
Title:
Identification of Safety Critical Scenarios for Airlines using Machine Learning in Filter Trees​ 
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 tre...    »
 
Book / Congress title:
Probabilistic Safety Assessment and Management 14 
Year:
2018 
Covered by:
Scopus; Web of Science